Publications

Books

  1. G. Li, Advanced Sparsity-Driven Models and Methods for Radar Applications, SciTech/IET Publishing, ISBN-13: 978-1-83953-075-3, 2020.
  2. C. Clemente, F. Fioranelli, F. Colone, and G. Li, Radar Countermeasures for Unmanned Aerial Vehicles, SciTech/IET Publishing, ISBN-13: 978-1-83953-190-3, 2021.
  3. 欧智坚, 李刚, 概率论与随机过程, 清华大学出版社, ISBN：9787302615996, 2022年11月。
  4. 李刚，雷达人体感知，电子工业出版社，ISBN: 978-7-121-49259-4, 2024年12月。

 

 

Book Chapters

1.             G. Li and S. S. Ram, “Sparsity-driven methods for micro-Doppler detection and classification,” Chapter 3 in Micro-Doppler Radar and its Applications,  edited by Francesco Fioranelli, Hugh Griffiths, Matthew Ritchie, Alessio Balleri, SciTech Publishing, 2020.

Journal Articles

J1.         R. Li, X. Wang, G. Li, and X.-P. Zhang, “Sparse Regularization with Learnable Partition Weights for Super-Resolution Imaging of Ultra-Wideband Radar,” IEEE Transactions on Antennas and Propagation, in press.

J2.         G. Li, G. Li, and Y. He, “Belief-Propagation-based Resolvable Group Target Tracking with Unknown Detection Probability,” IEEE Transactions on Aerospace and Electronic Systems, in press.

J3.          赵翔, 王威, 李刚, 李晨洋, 关建, “基于毫米波雷达微动信号和脉搏波数据融合的轻接触式睡眠呼吸暂停低通气综合征筛查技术,” 雷达学报, in press.

J4.         L. Zhao, Y. Ma, X. Wang, and G. Li, “A Fast Scheduling Method of Multiple Agile Satellites Based on Neural Network-Guided Genetic Algorithm,” Journal of Systems Engineering and Electronics, in press.

J5.         J. Jiao, G. Li, J. Wang, Z. Zhao, J. Li, and H. Chen, “TF-GAN: Satellite Anomaly Detection via Generative Adversarial Networks and Time-Frequency Spectrum,” IEEE Transactions on Aerospace and Electronic Systems, vol. 60, no. 6, pp. 9143-9153, Dec. 2024. [PDF]

J6.         Z. Ji, X. Wang, Z. Wang, and G. Li, “An Enhanced and Unsupervised Siamese Network With Superpixel-Guided Learning for Change Detection in Heterogeneous Remote Sensing Images,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 17, pp. 19451-19466, 2024, DOI: 10.1109/JSTARS.2024. [PDF]

J7.         D. Pan, Z. Wang, X. Wang, G. Li, S. Zeng, and Y. Wang, “An Efficient Flood Detection Method with Satellite Images Based on Algorithm-Hardware Co-Design,” IEEE Geoscience and Remote Sensing Letters, vol. 21, 2024, pp. 1-5, DOI: 10.1109/LGRS.2024.3472050. [PDF]

J8.         Y. Zhang, X. Wang, G. Li, Y. He, Z. Song, and H. Song, “Dense Ship Detection in SAR Images via Comprehensive Confidence Score-Based Label Assignment,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 17, pp. 17175 – 17186, DOI: 10.1109/JSTARS.2024.3419770, June 2024. [PDF]

J9.         G. Li, G. Li, and Y. He, “PMBM-based Unresolved-group Object Tracking,” IEEE Transactions on Aerospace and Electronic Systems, vol. 60, no. 4, pp. 4229 – 4240, August 2024.  [PDF]

J10.     李晨洋, 王威, 黄炜峻, 许华俊, 易红良, 关建, 李刚, 殷善开, “新型雷达设备诊断阻塞性睡眠呼吸暂停：一项评价与多导睡眠监测等效性的平行对照研究,” 中华耳鼻咽喉头颈外科杂志,第 59 卷第 8 期, 73-79, 2024 年8 月. [PDF]

J11.     Z. Wang, X. Wang, G. Li, W. Wu, Y. Liu, Z. Song, and H. Song, “Historical information fusion of dense multi-source satellite image time series for flood extent mapping,” Information Fusion, Vol. 109, Sept. 2024, 102445.  [PDF]

J12.     Z. Wang, X. Wang, G. Li, and C. Li, “Robust Cross-Modal Remote Sensing Image Retrieval via Maximal Correlation Augmentation,” IEEE Transactions on Geoscience and Remote Sensing, vol. 62, pp. 1-17, DOI: 10.1109/TGRS.2024.3406606, 2024. [PDF]

J13.     张强，王志豪，王学谦，李刚，黄立威，宋慧娜，宋朝晖， “基于邻域显著性的可见光和SAR遥感图像海面舰船协同检测方法”, 雷达学报, 2024, 13(4): 886-903. [PDF] (in Chinese)

J14.     L. Xue, X. Wang, Z. Wang, and G. Li, “A Lightweight Patch-Level Change Detection Network Based on Multi-layer Feature Compression and Sensitivity-Guided Network Pruning,” IEEE Transactions on Geoscience and Remote Sensing, vol. 62, pp. 1-19, DOI: 10.1109/TGRS.2024.3398820, 2024. [PDF] 

J15.     B. Li, X. Guo, H. Liu, D. Han, G. Li, and J. Wu, “Arctic Winds Retrieved from FY-3D Microwave Humidity Sounder-II 183.31 GHz Brightness Temperature Using Atmospheric Motion Vector Method,” Remote Sensing, 2024, 16(10), 1715; https://doi.org/10.3390/rs16101715  [PDF]

J16.     J. Ma, Y. Yang, R. Tao, G. Li, C. Gao, “Spectrum analysis for nonuniform sampling of bandlimited and multiband signals in the fractional Fourier domain,” Signal Processing, Vol. 222, Sept. 2024, 109539. https://doi.org/10.1016/j.sigpro.2024.109539 [PDF]

J17.     X. Wang, G. Li, Z. Jiang, Y. Liu, and Y. He, “Density-based ship detection in SAR images: Extension to a self-similarity perspective,” Chinese Journal of Aeronautics, vol. 37, no. 3, pp. 168–180, 2024. [PDF]

J18.     C. Li, G. Li, Z. Wang, X. Wang, and P. K. Varshney, “COMIC: An Unsupervised Change Detection Method for Heterogeneous Remote Sensing Images Based on Copula Mixtures and Cycle-Consistent Adversarial Networks,” Information Fusion, Vol. 106, June 2024, 102240. [PDF]

J19.     Y. Zhang, G. Li, X.-P. Zhang, and Y. He, “A deep learning model based on transformer structure for radar tracking of maneuvering targets,”Information Fusion, vol. 103, Mar. 2024, 102120.  [PDF]

J20.     R. Li, X. Wang, G. Li, and X.-P. Zhang, “TEFISTA-Net: A Learnable Method for High-Resolution Range Profile Reconstruction with Low-Frequency Ultra-wideband Radar,” Signal Processing, vol. 214, Jan. 2024, 109257. https://doi.org/10.1016/j.sigpro.2023.109257 [PDF]

J21.     瓦其日体,  李刚,  赵志纯,  则正华, “基于直方图分析和自适应遗传的雷达道路目标识别特征优选方法,” 雷达学报, 2023, 12(5): 1014-1030. [PDF] (in Chinese)

J22.     W. Wang, Y. Wan, C. Li, Z. Chen, W. Zhang, L. Zhao, J. Zhao,  X. Mu, and G. Li, “Millimetre-wave radar-based spirometry for the preliminary diagnosis of chronic obstructive pulmonary disease,” IET Radar, Sonar & Navigation, 1–12 (2023). https://doi.org/10.1049/rsn2.12479. [PDF]

J23.     G. Li, G. Li, and Y. He, “Labeled Multi-Bernoulli Filter based Multiple Resolvable Group Targets Tracking with Leader-Follower Model," IEEE Transactions on Aerospace and Electronic Systems, vol. 59, no. 5, pp. 6683-6694, Oct. 2023. [PDF]

J24.     C. Li, G. Li, X. Wang, and P. K. Varshney, “A Copula-Based Method for Change Detection with Multi-sensor Optical Remote Sensing Images,” IEEE Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1-15, DOI: 10.1109/TGRS.2023.3312344, 2023. [PDF]

J25.     L. Zhang, Y. Liu, W. Zhao, X. Wang, G. Li, and Y. He, “Frequency-Adaptive Learning for SAR Ship Detection in Clutter Scenes,” IEEE Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1-14 2023, DOI: 10.1109/TGRS.2023.3249349. [PDF]

J26.     C. Qin, X. Wang, G. Li, and Y. He, “A Semi-Soft Label-Guided Network With Self-Distillation for SAR Inshore Ship Detection,” IEEE Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1-18, 2023, DOI: 10.1109/TGRS.2023.3293535. [PDF]

J27.     J. Chen, Y. Liu, X. Wang, Y. Zhang, Z. Jiang, G. Li, B. Zheng, J. Zhang, and Y. He, “Caps-SSENet: An Improved Estimation Method for SAR Ship Size,” IEEE Geoscience and Remote Sensing Letters, vol. 20, pp. 1-5, 2023, DOI: 10.1109/LGRS.2023.3283442.  [PDF]

J28.     Z. Wang, X. Wang, W. Wu, and G. Li, “Continuous Change Detection of Flood Extents With Multisource Heterogeneous Satellite Image Time Series,” IEEE Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1-18, 2023, DOI: 10.1109/TGRS.2023.3281792. [PDF]

J29.     J. Ma, G. Li, R. Tao, and Y. Li, “Nonuniform MIMO Sampling and Reconstruction of Multiband Signals in the Fractional Fourier Domain,” IEEE Signal Processing Letters, vol. 30, pp. 653-657, 2023. [PDF]

J30.     W. Li, L. Xue, X. Wang, and G. Li, “ConvTransNet: A CNN–Transformer Network for Change Detection With Multiscale Global–Local Representations,” IEEE Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1-15, 2023, DOI: 10.1109/TGRS.2023.3272694. [PDF]

J31.     D. Wang, G. Li, Z. Zhao, J. Wang, S. Ding, K. Wang, and M. Duan, “Detection Method of Radar Space Target Abnormal Motion via Local Density Peaks and Micro-Motion Feature,” IEEE Geoscience and Remote Sensing Letters, vol. 20, May 2023, DOI: 10.1109/LGRS.2023.3276421.  [PDF]

J32.     Y. Zhang, Y. Qiao, G. Li, W. Li, and Q. Tian, “Random Time Division Multiplexing Based MIMO Radar Processing with Tensor Completion Approach,” Sensors, 2023, 23(10), 4756; https://doi.org/10.3390/s23104756.  [PDF]

J33.     G. Li, G. Li, and Y. He, “Distributed multiple resolvable group targets tracking based on hypergraph matching,” IEEE Sensors Journal, vol. 23, no. 9, pp. 9669-9676, May 2023. [PDF]

J34.     C. Liu, Z. Li, L. Huang, P. Zhang, Z. Wu, J. Zhou, Z. Tang, and G. Li, “Identifying Wet and Dry Snow With Dual-Polarized C-Band SAR Data Based on Markov Random Field Model", IEEE Geoscience and Remote Sensing Letters, vol. 20, pp. 1-5, DOI: 10.1109/LGRS.2023.3266399, 2023. [PDF]

J35.     S. Yang, J. L. Kernec, O. Romain, F. Fioranelli, P. Cadart, J. Fix, C. Ren, G. Manfredi, T. Letertre, I. D. H. Sáenz, J. Zhang, H. Liang, X. Wang, G. Li, Z. Chen, K. Liu, X. Chen, J. Li, X. Wu, Y. Chen, and T. Jin, “The Human Activity Radar Challenge: Benchmarking Based on the ‘Radar Signatures of Human Activities’ Dataset From Glasgow University,” IEEE Journal of Biomedical and Health Informatics, vol. 27, no. 4, pp. 1813-1824, April 2023. [PDF]

J36.     C. Liu, Z. Li, Z. Wu, L. Huang, P. Zhang, G. Li, “An Unsupervised Snow Segmentation Approach Based on Dual-polarized Scattering Mechanism and Deep Neural Network,” IEEE Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1-14, DOI: 10.1109/TGRS.2023.3262727, 2023. [PDF]

J37.     Z. Zhao and G. Li, “Synchrosqueezing-based Short-time Fractional Fourier Transform,” IEEE Transactions on Signal Processing, vol. 71, pp. 279-294, DOI: 10.1109/TSP.2023.3244097, 2023.   [PDF]

J38.     G. Li, G. Li, and Y. He, “Resolvable group target tracking via multi-Bernoulli filter and its application to sensor control scenario,” IEEE Transactions on Signal Processing, vol. 70, pp. 6286-6299, DOI: 10.1109/TSP.2023.3236158, 2022.  [PDF]

J39.     B. Dong, G. Li, and Q. Zhang, “High-Resolution and Wide-Swath Imaging of Spaceborne SAR via Random PRF Variation Constrained by the Coverage Diagram,” IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-16, DOI: 10.1109/TGRS.2022.3228282, 2022. [PDF]

J40.     Y. He, X. Wang, Y. Zhang, Y. Liu, Z. Jiang, G. Li, and Y. He “A Novel Loss Function for Optical and SAR Image Matching: Balanced Positive and Negative Samples,” IEEE Geoscience and Remote Sensing Letters, vol. 19, pp. 1-5, DOI: 10.1109/LGRS.2022.3225965, 2022. [PDF]

J41.     J. Wang, G. Li, Z. Zhao, J. Jiao, S. Ding, K. Wang, and M. Duan, “Space Target Anomaly Detection based on Gaussian Mixture Model and Micro-Doppler Features,” IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-11, DOI: 10.1109/TGRS.2022.3213277, 2022. [PDF]

J42.     D. Zhu, X. Wang, G. Li, X.-P. Zhang, “Vessel Detection via Multi-Order Saliency-Based Fuzzy Fusion of Spaceborne and Airborne SAR Images,” Information Fusion, vol. 89, pp. 473-485, January 2023. [PDF]

J43.     T. Guo, X. Guo, H. Liu, D. Han, C. Zhang, L. Niu, G. Li, and J. Wu, “Study of the Real-time Onboard Radio-Frequency Interference Detection and Mitigation Strategy for MICAP L-band Radiometer,” IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-14, DOI: 10.1109/TGRS.2022.3205963, 2022. [PDF]

J44.     Y. Li, G. Li, Y. Liu, X.-P. Zhang, and Y. He, “A Hybrid SVSF Algorithm for Automotive Radar Tracking,” IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 9, pp. 15028-15042, Sept. 2022. [PDF]

J45.     C. Li, G. Li, and P. K. Varshney, “Distributed Detection of Sparse Signals with Censoring Sensors in Clustered Sensor Networks,” Information Fusion, vol. 83–84, pp. 1-18, July 2022. [PDF]

J46.     Y. Zhang, X. Wang, Z. Jiang, G. Li, and Y. He, “An Efficient Center-Based Method with Multi-Level Auxiliary Supervision for Multi-Scale SAR Ship Detection,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 15, pp. 7065-7075, DOI: 10.1109/JSTARS.2022.3197210, 2022. [PDF]

J47.     C. Qin, X. Wang, G. Li, and Y. He, “An Improved Attention-Guided Network for Arbitrary-Oriented Ship Detection in Optical Remote Sensing Images,” IEEE Geoscience and Remote Sensing Letters, Vol. 19, pp. 1-5, DOI: 10.1109/LGRS.2022.3198681, 2022.  [PDF]

J48.     C. Li, G. Li, and P. K. Varshney, “Robust Federated Opportunistic Learning in the Presence of Label Quality Disparity,” IEEE Internet of Things Journal, vol. 9, no. 13, pp. 10978 – 10987, July, 2022. [PDF]

J49.     Y. Li, G. Li, Y. Liu, X.-P. Zhang, and Y. He, “A Novel Smooth Variable Structure Filter for Target Tracking under Model Uncertainty,” IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 6, pp. 5823-5839, June 2022. [PDF]

J50.     C. Li, G. Li, and P. K. Varshney, “Federated Learning with Soft Clustering,” IEEE Internet of Things Journal, vol. 9, no. 10, pp. 7773-7782, May 2022. [PDF]

J51.     G. Li, G. Li, and Y. He, “Distributed GGIW-CPHD-based extended target tracking over a sensor network,” IEEE Signal Processing Letters, vol. 29, pp. 842-846, 2022. [PDF]

J52.     X. Wang, G. Li, A. Plaza, and Y. He, “Revisiting SLIC: Fast Superpixel Segmentation of Marine SAR Images Using Density Features,” IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-18, DOI: 10.1109/TGRS.2022.3142068, 2022. [PDF]

J53.     Z. Xia, J. Du, J. Wang, C. Jiang, Y. Ren, G. Li, and Z. Han, “Multi-Agent Reinforcement Learning Aided Intelligent UAV Swarm for Target Tracking,” IEEE Transactions on Vehicular Technology, vol. 71, no. 1, pp. 931 – 945, Jan. 2022. [PDF]

J54.     X. Qiao, G. Li, T. Shan, and R. Tao, “Human Activity Classification Based on Moving Orientation Determining Using Multistatic Micro-Doppler Radar Signals,” IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-15, DOI: 10.1109/TGRS.2021.3100482, 2022. [PDF]

J55.     B. Dong, G. Li, K. Wang, and M. Duan, “Range Aliasing Elimination for FMICW Radar with Uniform Sampling Bursts and Poisson Disk Inter-Burst Delays,” IEEE Sensors Journal, vol. 22, no. 2, pp. 1495-1508, Jan. 2022. [PDF]

J56.     C. Li, G. Li, and P. K. Varshney, “Decentralized Federated Learning via Mutual Knowledge Transfer,” IEEE Internet of Things Journal, vol. 9 no. 2, pp.  1136-1147, Jan. 2022. [PDF]

J57.     D. Zhu, G. Li, and X.-P. Zhang, “Source Localization Based on Hybrid Coarray for 1-D Mirrored Interferometric Aperture Synthesis,” IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-14, DOI: 10.1109/TGRS.2021.3061447, 2022. [PDF]

J58.     Z. Jiang, G. Li, X.-P. Zhang, and Y. He, “Robust STAP Detection Based on Volume Cross-Correlation Function in Heterogeneous Environments,” IEEE Geoscience and Remote Sensing Letters, vol. 19, pp. 1-5, Article Sequence Number: 8000705, 2022.  [PDF]

J59.     X. Wang, G. Li, A. Plaza, and Y. He, “Ship Detection in SAR Images by Aggregating Densities of Fisher Vectors: Extension to a Global Perspective,” IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-13, DOI: 10.1109/TGRS.2021.3073053, 2022. [PDF]

J60.     J. Han, G. Li, K. Wang, M. Duan, and X.-P. Zhang, “1-Bit Radar Imaging Based on Adversarial Samples,” IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-13, DOI: 10.1109/TGRS.2021.3073159, 2022. [PDF]

J61.     B. Dong, Z. Chen, and G. Li, “Unambiguous Doppler Extension for FMCW Radar via Poisson Disk Sampling,” IEEE Geoscience and Remote Sensing Letters, vol. 19, pp. 1-5, Article Sequence Number: 3506605, 2022. [PDF]

J62.     Z. Song, J. Yin, Z. Wang, C. Lu, Z. Yang, Z. Zhao, Z. Li, J. Wang, C. Wu, J. Cheng, Y. Dai, Y. Zi, S.-L. Huang, X. Chen, J. Song, G. Li, and W. Ding, “A flexible triboelectric tactile sensor for simultaneous material and texture recognition,” Nano Energy, vol. 93, March 2022, 106798. [PDF]

J63.     X. Wang, D. Zhu, G. Li, X.-P. Zhang, and Y. He, “Proposal-Copula-Based Fusion of Spaceborne and Airborne SAR Images for Ship Target Detection,” Information Fusion, vol. 77, pp. 247–260, 2022. [PDF]

J64.     X. Jiang, G. Li, X.-P. Zhang, and Y. He, “A Semisupervised Siamese Network for Efficient Change Detection in Heterogeneous Remote Sensing Images,” IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-18, DOI: 10.1109/TGRS.2021.3061686, 2022.  [PDF]

J65.     W. Zhang, G. Li, Z. Wang, and H. Wu, “Non-contact monitoring of human heartbeat signals using mm-wave frequency-modulated continuous-wave radar under low signal-to-noise ratio conditions,” IET Radar, Sonar & Navigation, 2021, pp. 1-14. [PDF]

J66.     D. Tan, Y. Liu, G. Li, L. Yao, S. Sun, and Y. He, “Sequential GANs: A feature-preserving heterogeneous remote sensing image transformation model,” Remote Sensing, 2021, vol. 13, 3968. https://doi.org/10.3390/rs13193968. [PDF]

J67.     李刚, 刘瑜, 张庆君, “多源卫星数据在轨智能融合技术,” 中国科学基金, vol. 35, no. 5, pp. 708-712, 2021. [PDF] (in Chinese)

J68.     王雪松, 李健兵, 徐丰, 李刚, 程强, “电磁空间信息资源的认知与利用,” 中国科学基金, vol. 35, no. 5, pp. 682-687, 2021. [PDF] (in Chinese)

J69.     X. Wang, G. Li, A. Plaza, and Y. He, “Ship Detection in SAR Images via Enhanced Nonnegative Sparse Locality-Representation of Fisher Vectors,” IEEE Transactions on Geoscience and Remote Sensing, vol. 59, nol. 11, pp. 9424-9438, Nov. 2021.  [PDF]

J70.     D. Zhu, X. Wang, Y. Cheng, and G. Li, “Vessel Target Detection in Spaceborne-Airborne Collaborative SAR Images via Proposal and Polarization Fusion,” Remote Sensing, 2021, vol. 13, 3957. https://doi.org/ 10.3390/rs13193957. [PDF]

J71.     C. Li, G. Li, and P. K. Varshney, “Communication Efficient Federated Learning Based on Compressed Sensing,” IEEE Internet of Things Journal, vol. 8, no. 20, pp. 15531-15541, Oct. 2021. [PDF]

J72.     J. Han, G. Li, and X.-P. Zhang, “One-Bit Radar Imaging via Adaptive Binary Iterative Hard Thresholding,” IEEE Transactions on Computational Imaging, vol. 7, pp. 1005-1017, 2021. [PDF].

J73.     D. Zhu and G. Li, “Multiple-Fold Redundancy Arrays With Robust Difference Coarrays: Fundamental and Analytical Design Method,” IEEE Transactions on Antennas and Propagation, vol.69, no.9, pp. 5570-5584, Sept. 2021. [PDF]

J74.     D. Zhu, X. Peng, and G. Li, “A Matrix Completion Based Method for RFI Source Localization in Microwave Interferometric Radiometry,” IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 9, pp. 7588-7602, Sept. 2021. [PDF]

J75.     Z. Jiang, X. Wang, G. Li, X.-P. Zhang, and Y. He, “Space-Time Adaptive Processing by Employing Structure-Aware Two-Level Block Sparsity,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 14, pp. 6386-6397, 2021. [PDF]

J76.     Z. Wang, J. Li, Y. Jin, J. Wang, F. Yang, G. Li, X. Ni, W. Ding, “Sensing beyond itself: Multi-functional use of ubiquitous signals towards wearable applications,” Digital Signal Processing, vol. 116, 103091, Sept. 2021. [PDF]

J77.     X. Wang, G. Li, X.-P. Zhang, and Y. He, “A Fast CFAR Algorithm Based on Density-Censoring Operation for Ship Detection in SAR Images,” IEEE Signal Processing Letters, vol. 28, pp. 1085 – 1089, May 2021. [PDF]

J78.     郑春弟，李刚，陈荟慧，王爱国，“二次谐波加权重构的77GHz FMCW 雷达心率监测方法”，西安电子科技大学学报，vol. 48, no. 2, 2021 年4 月. [PDF] (in Chinese)

J79.     X. Wang, Y. He, G. Li, and A. Plaza, “Adaptive Superpixel Segmentation of Marine SAR Images by Aggregating Fisher Vectors,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 14, pp. 2058-2069, 2021. [PDF]

J80.     何友, 姚力波, 李刚, 刘瑜, 杨冬, 李文峰, “多源卫星信息在轨融合处理分析与展望,” 宇航学报, 2021, 42 (1): 1-10. [PDF] (in Chinese)

J81.     Z. Wang, G. Li, and L. Yang, “Dynamic Hand Gesture Recognition Based on Micro-Doppler Radar Signatures Using Hidden Gauss-Markov Models,” IEEE Geoscience and Remote Sensing Letters, vol. 18, no. 2, pp. 291-295, Feb. 2021. [PDF]

J82.     B. Dong, G. Li, K. Wang, and M. Duan, “Unambiguous Range Extension for Pulse-Doppler Radar via Poisson Disk Sampling,” IET Radar, Sonar & Navigation, 2021, vol. 15, pp. 9-20. [PDF]

J83.     C. Li, G. Li, and P. K. Varshney, “Distributed Detection of Sparse Signals With Physical Layer Secrecy Constraints: A Falsified Censoring Strategy,” IEEE Transactions on Signal Processing, vol. 68, pp. 6040-6054, 2020.  [PDF]

J84.     Y. Liu, J. Liu, C. Xu, G. Li, and Y. He, “Fully distributed variational Bayesian non-linear filter with unknown measurement noise in sensor networks,” Science China - Information Sciences, 2020, 63(11): 210202. [PDF]

J85.     Z. Wang, G. Li, and H. Chen, “Adaptive Persymmetric Subspace Detectors in the Partially Homogeneous Environment,” IEEE Transactions on Signal Processing, vol. 68, pp. 5178 - 5187, 2020. [PDF].

J86.     W. Zhang, G. Li, and C. Baker, “Radar Recognition of Multiple Micro-Drones Based on Their Micro-Doppler Signatures via Dictionary Learning,” IET Radar, Sonar & Navigation, vol. 14, no. 9, pp. 1310 – 1318.  Sept. 2020. [PDF]

J87.     X. Wang, G. Li, X.-P. Zhang, and Y. He, “Ship Detection in SAR Images via Local Contrast of Fisher Vectors,” IEEE Transactions on Geoscience and Remote Sensing, vol. 58, no. 9, pp. 6467-6479, Sept. 2020. [PDF]

J88.     王志豪,李刚,蒋骁, “基于光学和SAR遥感图像融合的洪灾区域检测方法,” 雷达学报, vol. 9, no. 3, pp. 539-553, 2020年6月.  [PDF] (in Chinese)

J89.     C. Li, G. Li, and P. K. Varshney, “Distributed Detection of Sparse Stochastic Signals With 1-Bit Data in Tree-structured Sensor Networks,” IEEE Transactions on Signal Processing, vol. 68, pp. 2963-2976, 2020.  [PDF]

J90.     Z. Wang, G. Li, and M. Li, “Adaptive Detection of Distributed Target in the Presence of Signal Mismatch in Compound Gaussian Clutter,” Digital Signal Processing, vol. 102, July 2020, 102755. [PDF]

J91.     J. Han, G. Li, and X.-P. Zhang, “Refocusing of Moving Targets Based on Low-bit Quantized SAR Data via Parametric Quantized Iterative Hard Thresholding,” IEEE Transactions on Aerospace and Electronic Systems, vol. 56, no. 3, pp. 2198 – 2211, June 2020. [PDF]

J92.     D. Zhu, J. Li, and G. Li, “RFI Source Localization in Microwave Interferometric Radiometry: A Sparse Signal Reconstruction Perspective,” IEEE Transactions on Geoscience and Remote Sensing, vol. 58, no. 6, pp. 4006-4017, June 2020. [PDF]

J93.     X. Jiang, G. Li, Y. Liu, X.-P. Zhang, and Y. He, “Change Detection in Heterogeneous Optical and SAR Remote Sensing Images via Deep Homogeneous Feature Fusion,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 13, pp. 1551 – 1566, 2020. [PDF]

J94.     P. Zhang, G. Li, C. Huo, and H. Yin, “Exploitation of Multipath Micro-Doppler Signatures for Drone Classification,” IET Radar, Sonar & Navigation, vol. 14, no. 4, pp. 586 – 592, April 2020. [PDF]

J95.     C. Li, G. Li, and P. K. Varshney, “Distributed Detection of Sparse Signals with Censoring Sensors via Locally Most Powerful Test,” IEEE Signal Processing Letters, vol. 27, pp. 346-350, 2020. [PDF]

J96.     G. Chen, G. Li, Y. Liu, X.-P. Zhang, and L. Zhang, “SAR Image Despeckling Based on Combination of Fractional-Order Total Variation and Nonlocal Low Rank Regularization,” IEEE Transactions on Geoscience and Remote Sensing, vol. 58, no. 3, pp. 2056-2070, Mar. 2020.  [PDF]

J97.     X. Jiang, Y. He, G. Li, Y. Liu, and X.-P. Zhang, “Building Damage Detection via Superpixel-Based Belief Fusion of Space-Borne SAR and Optical Images”, IEEE Sensors Journal, vol. 20, no. 4, pp. 2008-2022, Feb. 2020. [PDF]

J98.     Z. Zhao, R. Tao, G. Li, and Y. Wang, “Clustered Fractional Gabor Transform,” Signal Processing, vol. 166, pp. 1-13, Jan. 2020. [PDF]

J99.     Z. Zhao, R. Tao, G. Li, and Y. Wang, “Sparse Fractional Energy Distribution and Its Application to Radar Detection of Marine Targets with Micro-motion,” IEEE Sensors Journal, vol. 19, no. 24, pp. 12165-12174, Dec. 2019. [PDF]

J100.    C. Li, Y. He, X. Wang, G. Li, and P. K. Varshney, “Distributed Detection of Sparse Stochastic Signals via Fusion of 1-bit Local Likelihood Ratios,” IEEE Signal Processing Letters, vol. 26, no. 12, pp. 1738-1742, Dec. 2019. [PDF]

J101.    X. Wang, G. Li, C. Quan, and P. K. Varshney, “Distributed Detection of Sparse Stochastic Signals with Quantized Measurements: The Generalized Gaussian Case,” IEEE Transactions on Signal Processing, vol. 67, no. 18, pp. 4886 – 4898, Sept. 2019. [PDF]

J102.    C. Li, G. Li, B. Kailkhura, and P. K. Varshney, “Secure Distributed Detection of Sparse Signals via Falsification of Local Compressive Measurements,” IEEE Transactions on Signal Processing, vol. 67, no. 18, pp. 4696-4706, Sept. 2019. [PDF]

J103.    Y. Chen, G. Li, and Q. Zhang, “Iterative Minimum-Entropy Algorithm for Refocusing of Moving Targets in SAR Images,” IET Radar, Sonar & Navigation, vol. 13, no. 8, pp. 1279 – 1286, Aug. 2019. [PDF]

J104.    X. Yang, G. Li, J. Sun, Y. Liu, and X.-G. Xia, “High-Resolution and Wide-Swath SAR Imaging via Poisson Disk Sampling and Iterative Shrinkage Thresholding,” IEEE Transactions on Geoscience and Remote Sensing, vol. 57, no. 7, pp. 4692-4704, July 2019. [PDF]

J105.    X. Wang, G. Li, and P. K. Varshney, "Detection of Sparse Stochastic Signals with Quantized Measurements in Sensor Networks," IEEE Transactions on Signal Processing, vol. 67, no. 8, pp. 2210-2220, April 2019. [PDF]

J106.    X. Wang, G. Li, and P. K. Varshney, “Distributed Detection of Weak Signals From One-Bit Measurements Under Observation Model Uncertainties,” IEEE Signal Processing Letters, vol. 26 , no. 3, pp. 415 – 419, March 2019. [PDF]

J107.    X. Wang, G. Li, Y. Liu, and M. G. Amin, “Enhanced 1-Bit Radar Imaging by Exploiting Two-Level Block Sparsity,” IEEE Transactions on Geoscience and Remote Sensing, vol. 57, no. 2, pp. 1131-1141, Feb. 2019. [PDF]

J108.    章鹏飞, 李刚, 霍超颖, 殷红成, “基于双雷达微动特征融合的无人机分类识别,” 雷达学报, vol. 7, no. 5, pp. 557-564, Oct. 2018. (in Chinese) [PDF]

J109.    L. Yang and G. Li, “Sparsity Aware Dynamic Gesture Recognition Using Radar Sensors with Angular Diversity,” IET Radar, Sonar & Navigation, vol. 12, no. 10, pp. 1114 –1120, Oct. 2018. [PDF]

J110.    Z. Zhao, R. Tao, G. Li, and Y. Wang, “Fractional Sparse Energy Representation Method for ISAR Imaging,” IET Radar, Sonar & Navigation, vol. 12, no. 9, pp. 988 – 997, Sept. 2018. [PDF]

J111.    X. Wang, G. Li, and P. K. Varshney, “Detection of Sparse Signals in Sensor Networks via Locally Most Powerful Tests,” IEEE Signal Processing Letters, vol. 25, no. 9, pp. 1418-1422, Sept. 2018. [PDF]

J112.    G. Li, S. Zhang, F. Fioranelli, and H. Griffiths, “Effect of sparsity-aware time–frequency analysis on dynamic hand gesture classification with radar micro-Doppler signatures,” IET Radar, Sonar & Navigation, vol. 12, no. 8, pp. 815-820, Aug. 2018. [PDF]

J113.    Z. Chen, G. Li, F. Fioranelli, and H. Griffiths, “Personnel Recognition and Gait Classification Based on Multistatic Micro-Doppler Signatures Using Deep Convolutional Neural Networks,” IEEE Geoscience and Remote Sensing Letters, vol. 15, no. 5, pp. 669-673, May 2018. [PDF]

J114.    G. Li, R. Zhang, M. Ritchie, and H. Griffiths, “Sparsity-Driven Micro-Doppler Feature Extraction for Dynamic Hand Gesture Recognition," IEEE Transactions on Aerospace and Electronic Systems, vol. 54, no. 2, pp. 655-665, April 2018. [PDF]

J115.    W. Zhang and G. Li, “Detection of Multiple Micro-Drones via Cadence Velocity Diagram Analysis”, Electronics Letters, vol. 54, no. 7, pp. 441 –443, April 2018. [PDF] (selected as Feature Article)

J116.    Z. Liu, G. Li, G. Mercier, Y. He, and Q. Pan, “Change detection in heterogenous remote sensing images via homogeneous pixel transformation,” IEEE Transactions on Image Processing, vol. 27, no. 4, pp. 1822 – 1834, April 2018. [PDF]

J117.    X. Wang, G. Li, Y. Liu, and M. G. Amin, “Two-Level Block Matching Pursuit for Polarimetric Through-Wall Radar Imaging,” IEEE Transactions on Geoscience and Remote Sensing, vol. 56, no. 3, pp. 1533-1545, Mar. 2018. [PDF]

J118.    Y. Liu, J. Liu, G. Li, L. Qi, Y. Li, and Y. He, “Centralized Multi-sensor Square Root Cubature Joint Probabilistic Data Association, ” Sensors, 2017, 17(11), 2546; doi:10.3390/s17112546. [PDF]

J119.    Y. Chen, G. Li, Q. Zhang, and J. Sun, “Refocusing of Moving Targets in SAR images via Parametric Sparse Representation,” Remote Sensing, 2017, 9(8), 795; doi:10.3390/rs9080795. [PDF]

J120.    X. Wang, G. Li, Q. Wan, and R. J. Burkholder, “Look-Ahead Hybrid Matching Pursuit for MultiPolarization Through-Wall Radar Imaging,” IEEE Transactions on Geoscience and Remote Sensing, vol. 55, no. 7, pp. 4072 – 4081, July 2017. [PDF]

J121.    L. Yang, G. Chen, and G. Li, “Classification of Personnel Targets with Baggage Using Dual-band Radar,” Remote Sensing, 2017, 9(6), 594; doi: 10.3390/rs9060594.  [PDF]

J122.    G. Chen, G. Li, and J. Zhang, “Tensor Compressed Video Sensing Reconstruction by Combination of Fractional-Order Total Variation and Sparsifying Transform,” Signal Processing: Image Communication, vol. 55, pp. 146-156, July 2017. [PDF]

J123.    R. Zhang, G. Li, C. Clemente, and J. J. Soraghan, “Multi-Aspect Micro-Doppler Signatures for Attitude-Independent L/N Quotient Estimation and its Application to Helicopter Classification,” IET Radar, Sonar & Navigation, vol. 11, no. 4, pp. 701-708, April 2017. [PDF]

J124.    Y. Chen, G. Li, Q. Zhang, Q. Zhang, and X.-G. Xia, “Motion Compensation for Airborne SAR via Parametric Sparse Representation,” IEEE Transactions on Geoscience and Remote Sensing, vol. 55, no. 1, pp. 551-562, Jan. 2017. [PDF]

J125.    R. Zhang, G. Li, and Y. D. Zhang, “Micro-Doppler Interference Removal via Histogram Analysis in Time-Frequency Domain”, IEEE Transactions on Aerospace and Electronic Systems, vol. 52, no. 2, pp. 755-768, Apr. 2016. [PDF]

J126.    李刚, 夏香根, “参数化稀疏表征在雷达探测中的应用”, 雷达学报, vol. 5, no. 1, pp. 1-7, Feb. 2016. (in Chinese) [PDF]

J127.    G. Li, T. Wimalajeewa, and P. K. Varshney, “Decentralized and Collaborative Subspace Pursuit: A Communication-Efficient Algorithm for Joint Sparsity Pattern Recovery with Sensor Networks,” IEEE Transactions on Signal Processing, vol. 64, no. 3, pp. 556-566, Feb. 2016. [PDF]

J128.    Y. Zhang, J. Sun, P. Lei, G. Li, and W. Hong, “High-Resolution SAR based Ground Moving Target Imaging with Defocused ROI Data,” IEEE Transactions on Geoscience and Remote Sensing, vol. 54, no. 2, pp. 1062-1073, Feb. 2016. [PDF]

J129.    H. Shi, H. Zhang, G. Li, and X. Wang, “Stable Embedding of Grassmann Manifold via Gaussian Random matrices,” IEEE Transactions on Information Theory, vol. 61, no. 5, pp. 2924 – 2941, May 2015. [PDF]

J130.    G. Li and R. J. Burkholder, “Hybrid Matching Pursuit for Distributed Through-Wall Radar Imaging,” IEEE Transactions on Antennas and Propagation, vol. 63, no. 4, pp. 1701-1711, Apr. 2015. [PDF]

J131.    G. Li and P. K. Varshney, “Micro-Doppler Parameter Estimation via Parametric Sparse Representation and Pruned Orthogonal Matching Pursuit,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 7, no. 12, pp. 4937-4948, Dec. 2014. [PDF]

J132.    W. Rao, G. Li, X. Wang, and X.-G. Xia, "Parametric Sparse Representation Method for ISAR Imaging of Rotating Targets," IEEE Transactions on Aerospace and Electronic Systems, vol. 50, no. 2, pp. 910-919, Apr. 2014. [PDF]

J133.    W. Rao, G. Li, X. Wang, and X.-G. Xia, “Comparison of Parametric Sparse Recovery Methods for ISAR Image Formation,” Science China - Information Sciences, vol. 57, no. 2, doi: 10.1007/s11432-013-4859-9, Feb. 2014. [PDF]

J134.    C. Zheng, G. Li, and X. Wang, “Combination of weighted L2,1 minimization with unitary transformation for DOA estimation,” Signal Processing, vol. 93, no. 12, pp. 3430-3434, Dec. 2013. [PDF]

J135.    W. Rao, G. Li, X. Wang, and X.-G. Xia, “Adaptive Sparse Recovery by Parametric Weighted L1 Minimization for ISAR Imaging of Uniformly Rotating Targets,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 6, no. 2, pp. 942–952, Apr. 2013. [PDF]

J136.    C. Zheng, G. Li, X.-G. Xia, and X. Wang, “Weighted L2,1 minimization for high resolution range profile with stepped frequency radar,” Electronics Letters, vol. 48, no. 18, pp. 1155 – 1156, Aug. 2012. [PDF]

J137.    C. Hu, Y. Liu, G. Li, and X. Wang, "Improved FOCUSS Method for Reconstruction of Cluster Structured Sparse Signals in Radar Imaging", Science China - Information Sciences, vol. 55, no. 8, pp. 1776-1788, Aug. 2012.[PDF]

J138.    C. Zheng, G. Li, Y. Liu and X. Wang, "Subspace Weighted L2,1 Minimization for Sparse Signal Recovery," EURASIP Journal on Advances in Signal Processing, doi:10.1186/1687-6180-2012-98, 2012. [PDF]

J139.    G. Li, H. Zhang, X. Wang, and X.-G. Xia, "ISAR 2-D imaging of uniformly rotating targets via matching pursuit," IEEE Transactions on Aerospace and Electronic Systems, vol. 48, no. 2, pp. 1838-1846, Apr. 2012.[PDF]

J140.    G. Li, H. Zhang, X. Wang, and X.-G. Xia, "An efficient implementation of iterative adaptive approach for source localization," EURASIP Journal on Advances in Signal Processing, doi:10.1186/1687-6180-2012-7, 2012. [PDF]

J141.    孙珂, 张颢, 李刚, 孟华东, 王希勤, "基于稀疏恢复的直接数据域STAP 算法," 清华大学学报, vol. 51, no. 7, pp. 972-976, Jul. 2011. (in Chinese)

J142.    孙珂, 张颢, 李刚, 孟华东, 王希勤, "基于杂波谱稀疏恢复的空时自适应处理", 电子学报, vol. 39, no. 6, pp. 1389-1393, Jun. 2011. (in Chinese)

J143.    陈帅, 李刚, 张颢, 孟华东, 王希勤, "SAR图像压缩采样恢复的GPU并行实现," 电子与信息学报, vol.33, no.3, pp.610-615, Mar. 2011.(in Chinese)

J144.    Y. Liu, H. Meng, G. Li, and X. Wang, “Velocity estimation and range shift compensation for high range resolution profiling in stepped-frequency radar,” IEEE Geoscience and Remote Sensing Letters, vol. 7, no.4, pp. 791-795, Oct. 2010. [PDF]

J145.    G. Li, X.-G. Xia, J. Xu and Y.-N. Peng, "A velocity estimation algorithm of moving targets using single antenna SAR," IEEE Transactions on Aerospace and Electronic Systems, vol.45, no.3, pp. 1052-1062, Jul.2009.[PDF]

J146.    李刚, 彭应宁, 夏香根, "基于改进RDM的SAR自聚焦算法 ," 电子与信息学报, vol. 31, no. 2, pp. 349-352, Feb. 2009. (in Chinese)

J147.    J. Xu, G. Li, Y.-N. Peng, X.-G. Xia, and Y. Wang, "Parametric velocity synthetic aperture radar: multilook processing and its applications," IEEE Transactions on Geoscience and Remote Sensing, vol. 46, no. 11, pp. 3488-3502, Nov. 2008.[PDF]

J148.    G. Li, X.-G. Xia and Y.-N. Peng, "Doppler Keystone Transform: an approach suitable for parallel implementation of SAR moving target imaging," IEEE Geoscience and Remote Sensing Letters, vol. 5, no. 4, pp. 573-577, Oct. 2008.[PDF]

J149.    许稼, 彭应宁, 李刚, 夏香根, 王永良, "参数化VSAR运动目标检测和定位研究进展," 雷达科学与技术, vol. 6, no. 5, Oct. 2008. (in Chinese)

J150.    J. Xu, G. Li, Y.-N. Peng, X.-G. Xia, and Y. Wang, "Parametric velocity synthetic aperture radar: signal modeling and optimal methods," IEEE Transactions on Geoscience and Remote Sensing, vol. 46, no. 9, pp. 2463-2480, Sep. 2008.[PDF]

J151.    Y. Liu, H. Meng, G. Li, X. Wang, "Range-velocity estimation of multiple targets in randomised stepped-frequency radar," Electronics Letters, vol. 44, no. 17, pp. 1032-1034, Aug. 2008. [PDF]

J152.    G. Li, H. Meng, X.-G. Xia, and Y.-N. Peng, "Range and velocity estimation of moving targets using multiple stepped-frequency pulse trains," Sensors, vol. 8, pp. 1343-1350, Feb. 2008.[PDF]

J153.    李刚, 许稼, 彭应宁, 夏香根, "一种稳健的机载雷达杂波多普勒参数估计方法," 电子与信息学报, vol. 29, no. 12, pp. 2867-2870, Dec. 2007. (in Chinese)

J154.    G. Li, J. Xu, Y.-N. Peng, and X.-G. Xia, "Location and imaging of moving targets using nonuniform linear antenna array SAR," IEEE Transactions on Aerospace and Electronic Systems, vol. 43, no. 3, pp. 1214-1220, Jul. 2007.[PDF]

J155.    G. Li, J. Xu, Y.-N. Peng, and X.-G. Xia, "An efficient implementation of a robust phase unwrapping algorithm," IEEE Signal Processing Letters, vol. 14, no. 6, pp. 393-396, Jun. 2007. [PDF]

J156.    G. Li, J. Xu, Y.-N. Peng, and X.-G. Xia, "A low-complexity estimator for incoherently distributed sources with narrow or wide spread angles," Signal Processing, vol. 87, no. 5, pp. 1058-1065, May 2007.[PDF]

J157.    G. Li, J. Xu, Y.-N. Peng, and X.-G. Xia, "Moving target location and imaging using dual-speed velocity SAR," IET Radar, Sonar & Navigation, vol. 1, no. 2, pp: 158-163, Apr. 2007.[PDF]

J158.    G. Li, J. Xu, Y.-N. Peng, and X.-G. Xia, "Bistatic linear antenna array SAR for moving target detection, location and imaging with two passive airborne radars," IEEE Transactions on Geoscience and Remote Sensing, vol. 45, no. 3, pp. 554-565, Mar. 2007. [PDF]

J159.    李刚, 许稼, 彭应宁, 夏香根, 严军,"基于混合积累的SAR微弱运动目标检测SAR,"电子学报, vol. 35, no. 3, pp. 576-579, Mar. 2007. (in Chinese)

J160.    李刚, 许稼, 彭应宁, "用于机载雷达杂波谱中心估计的极坐标质心法,"清华大学学报, vol. 45, no. 10, pp. 1348-1351, Oct. 2005. (in Chinese)

J161.    许稼, 李俊, 彭应宁, 夏香根, 李刚,"合成孔径雷达多普勒频谱的盲分裂解法,"电子学报, vol. 33, no. 6, pp. 974-976, Jun. 2005. (in Chinese)

Conference Articles

C1.       W. Wang, C. Li, Z. Chen, W. Zhang, Z. Wang, X. Guo, J. Guan, and G. Li, “Detection of Sleep Apnea-Hypopnea Events Using Millimeter-wave Radar and Pulse Oximeter,” In Proceedings of IEEE EMBC 2024 - 46th Annual International Conference of the IEEE Engineering in Medicine & Biology Society.

C2.       Z. Zhang, D. Han, X. Guo, H. Liu, G. Li, and J. Wu, “High-resolution beamforming microwave interferometric radiometer”, In Proceedings of International Geoscience and Remote Sensing Symposium (IGARSS) 2024.

C3.       B. Li, X. Guo, H. Liu, D. Han, G. Li, J. Wu, “Water Vapor Winds in the Arctic Region retrieved from FY-3D MWHS-II 183.31-GHz Brightness Temperature,” In Proceedings of International Geoscience and Remote Sensing Symposium (IGARSS) 2024.

C4.       B. Li, X. Guo, H. Liu, D. Han, X. Tong, C. Zhang, L. Niu, G. Li, and W. Zhou, “MICAP radiometer airborne campaign: preliminary results of L/C/K tri-frequency interferometric radiometer”, In Proceedings of International Geoscience and Remote Sensing Symposium (IGARSS) 2024.

C5.       C. Qin, X. Wang, Y. Liu, and G. Li, “A NOVEL END-TO-END TRANSFORMER NETWORK FOR SMALL SCALE SHIP DETECTION IN SAR IMAGES”, In Proceedings of International Geoscience and Remote Sensing Symposium (IGARSS) 2024.

C6.       Z. Wang, X. Wang, G. Li, and W. Wu, “MBF: A MULTI-BAND FUSION METHOD FOR SANDY WATER EXTENT MAPPING BASED ON MULTISPECTRAL SATELLITE IMAGES”, In Proceedings of International Geoscience and Remote Sensing Symposium (IGARSS) 2024.

C7.       C. Zhang, X. Wang, and G. Li, “LIGHTWEIGHT CHANGE DETECTION OF HETEROGENEOUS REMOTE SENSING IMAGES BASED ON ONLINE ALL-INTEGER-PRUNING TRAINING” In Proceedings of International Geoscience and Remote Sensing Symposium (IGARSS) 2024.

C8.       L. Xue, X. Wang, Z. Wang, L. Zhang, and G. Li, “A LIGHTWEIGHT PATCH-LEVEL CHANGE DETECTION NETWORK VIA EXPLORING THE POTENTIAL OF PRUNING AND MULTI-SCALE POOLING,” In Proceedings of International Geoscience and Remote Sensing Symposium (IGARSS) 2024.

C9.       Y. Zhou, X. Wang, Z. Wang, G. Li, and L. Zhang, “SUPER-PIXEL FISHER VECTOR-BASED GREEN ALGAE DETECTION IN MULTISPECTRAL REMOTE SENSING IMAGES,” In Proceedings of International Geoscience and Remote Sensing Symposium (IGARSS) 2024.

C10.   L. Zhang, Y. Liu, X. Wang, L. Xue, G. Li, Y. Liu, Z. Jiang, and Y. Zhang, “CPDTD: CONTENT-PERCEPTION DOWNSAMPLING-BASED SMALL TARGET DETECTOR IN REMOTE SENSING IMAGES”, In Proceedings of International Geoscience and Remote Sensing Symposium (IGARSS) 2024.

C11.   W. Li, L. Xue, X. Wang, and G. Li, “MCTNet: A Multi-Scale CNN-Transformer Network for Change Detection in Optical Remote Sensing Images,” In Proceedings of International Conference on Information Fusion (FUSION 2023).

C12.   X. Guo, B. Li, D. Han, H. Liu, G. Li, and J. Wu, “Preliminary aliasing error analysis of a ground-based interferometric radiometry concept for lunar observation”, In Proceedings of International Geoscience and Remote Sensing Symposium (IGARSS) 2023.

C13.   Y. Zhang, X. Wang, G. Li, and Y. He, “Dense ship detection guided by centrality prior information in SAR images” In Proceedings of International Geoscience and Remote Sensing Symposium (IGARSS) 2023.

C14.   C. Qin, X. Wang, G. Li, and Y. He, “Label augmentation network based on self-distillation for SAR ship detection in complex background”, In Proceedings of International Geoscience and Remote Sensing Symposium (IGARSS) 2023.

C15.   Z. Wang, X. Wang, G. Li, C. Li, “HGR maximal correlation augmented cross-modal remote sensing retrieval”, In Proceedings of International Geoscience and Remote Sensing Symposium (IGARSS) 2023.

C16.   Z. Ji, X. Wang, Z. Wang, and G. Li, “An unsupervised siamese superpixel-based network for change detection in heterogeneous remote sensing images”, In Proceedings of International Geoscience and Remote Sensing Symposium (IGARSS) 2023.

C17.   Z. Wang, X. Wang, and G. Li, “An extremely lightweight u-net with soft fusion for flood detection using multi-source satellite images,” In Proceedings of International Geoscience and Remote Sensing Symposium (IGARSS) 2023.

C18.   Y. Zhang, G. Li, X.-P. Zhang, and Y. He, “Transformer-based tracking Network for Maneuvering Targets,” In Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2023.

C19.   R. Li, X. Wang, G. Li, and X.-P. Zhang, “TEFISTA-NET: GTD parameter estimation of low-frequency ultra-wideband radar via model-based deep learning,” In Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2023.

C20.   Y. Zhang, X. Wang, Z. Jiang, G. Li, and Y. He, “MLS-NET: an efficient convolutional network for multi-scale ship detection in SAR images”, In Proceedings of Radar 2022: International Conference on Radar Systems.

C21.   X. Wang, D. Zhu, G. Li, and X.-P. Zhang, “A New Image Fusion Method for Ship Target Enhancement in Spaceborne and Airborne SAR Collaboration,” In Proceedings of International Conference on Information Fusion (FUSION 2021).

C22.   D. Zhu and G. Li, “SMOS RFI Detection Based on Reweighted L1-norm Mininization,” In Proceedings of International Geoscience and Remote Sensing Symposium (IGARSS) 2021.

C23.   D. Zhu, X. Wang, G. Li, and X.-P. Zhang, “Fusion of Spaceborne and Airborne SAR images Using Saliency and Fuzzy Logic for Vessel Detection,” In Proceedings of International Geoscience and Remote Sensing Symposium (IGARSS) 2021.

C24.   Z. Xia, J. Du, C. Jiang, J. Wang, Y. Ren, and G. Li, “Multi-UAV Cooperative Target Tracking Based on Swarm Intelligence," In Proceedings of 2021 IEEE International Conference on Communications (ICC).

C25.   Z. Chen and G. Li, “Human Activity Classification with Neural Network using Radar Micro-Doppler and Range Signatures,” In Proceedings of IET International Radar Conference 2020.

C26.   D. Zhu and G. Li, “Location of SMOS RFI Sources Using a Matrix Completion Approach”, In Proceedings of International Geoscience and Remote Sensing Symposium (IGARSS) 2020.

C27.   X. Wang, G. Li, and A. Plaza, “Adaptive Superpixel Segmentation with Fisher Vectors for Ship Detection in SAR Images,” In Proceedings of International Geoscience and Remote Sensing Symposium (IGARSS) 2020.

C28.   Y. Chen, Y. Zhao, G. Li, W. Wang, and P. Liu, “High-Resolution and Wide-Swath Monostatic SAR Imaging via Random Beam Scanning”, In Proceedings of IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM 2020).

C29.   Z. Xia, J. Du, J. Wang, Y. Ren, G. Li, and B. Zhang, “Contract Based Information Collection in Underwater Acoustic Sensor Networks”, In Proceedings of IEEE International Conference on Communications (ICC) 2020.

C30.   D. Zhu, G. Li, and X.-P. Zhang, “Mirrored Arrays for Direction-Of-Arrival Estimation,” In Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2020.

C31.   C. Li, G. Li, and P. K. Varshney, “Distributed Detection of Sparse Signals with 1-Bit Data in Two-Level Two-Degree Tree-Structured Sensor Networks,”  In Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2020.

C32.   X. Wang, G. Li, and X.-P. Zhang, “Contrast of Contextual Fisher Vectors for Ship Detection in SAR Images,” In Proceedings of 2020 IEEE International Radar Conference.

C33.   J. Han, G. Li, and X.-P. Zhang, “Design of Adaptive Thresholds for One-Bit Radar Imaging Based on Adversarial Samples”, In Proceedings of Asia-Pacific Conference on Synthetic Aperture Radar (APSAR) 2019. (Excellent Paper)

C34.   Z. Wang and G. Li, “Adaptive Detection of Range-Spread Target in the Presence of Signal Mismatch,” In Proceedings of IEEE International Conference on Signal, Information and Data Processing (ICSIDP) 2019.

C35.   D. Zhu and G. Li, “Robust Sparse Arrays with Multiple-Fold Redundant Difference Coarrays,” In Proceedings of IEEE International Conference on Signal, Information and Data Processing (ICSIDP) 2019. (Excellent Paper)

C36.   G. Chen, Q. Zhou, G. Li, X.-P. Zhang, C. Qu, “Tensor Based Analysis Dictionary Learning for Color Video Denoising,” In Proceedings of IEEE International Conference on Signal, Information and Data Processing (ICSIDP) 2019.

C37.   X. Wang, G. Li, C. Quan, and P. K. Varshney, “Distributed Detection of Generalized Gaussian Sparse Signals with One-Bit Measurements,” In Proceedings of International Conference on Information Fusion (FUSION 2019).

C38.   W. Zhang, G. Li, and C. Baker, “Dictionary Learning for Radar Classification of Multiple Micro-Drones,” In Proceedings of International Conference on Radar 2019.

C39.   Y. Li, Y. He, G. Li, and Y. Liu, “Modified Smooth Variable Structure Filter for Radar Target Tracking,” In Proceedings of International Conference on Radar 2019.

C40.   X. Jiang, G. Li, Y. Liu, X.-P. Zhang, and Y. He, 'Homogeneous transformation based on deep-level features in heterogeneous remote sensing images,” In Proceedings of International Geoscience and Remote Sensing Symposium (IGARSS) 2019.

C41.   J. Han, G. Li, X.-P. Zhang, “Parametric Quantized Iterative Hard Thresholding for SAR Moving Target Refocusing Based on Low-Bit-Rate Quantized Data,” In Proceedings of IEEE Radar Conference 2019.

C42.   X. Yang, G. Li, Y. Liu, J. Sun, and X.-G. Xia, “Sparsity-Driven High-Resolution and Wide-Swath SAR Imaging via Poisson Disk Sampling,” In Proceedings of IEEE Radar Conference 2019.

C43.   Z. Chen and G. Li, F. Fioranelli, and H. Griffiths, “Dynamic Hand Gesture Classification Based on Multistatic Radar Micro-Doppler Signatures Using Convolutional Neural Network,” In Proceedings of IEEE Radar Conference 2019.

C44.   Z. Jiang, G. Li, X. Wang, X.-P. Zhang, Y. He, “STAP Based on Two-Level Block Sparsity,” In Proceedings of IEEE Radar Conference 2019.

C45.   J. Zhang, Y. He, Y. Peng, and G. Li, “Cooperative Path Planning for Adversarial Target based on Neural Network and Artificial Potential Field,” In Proceedings of The 2018 IEEE/CSAA Guidance, Navigation and Control Conference (IEEE/CSAA GNCC2018).

C46.   L. Yang and G. Li, "Sparsity Aware Dynamic Gesture Classification Using Dual-band Radar", In Proceedings of International Radar Symposium (IRS 2018).

C47.   G. Chen and G. Li, “Joint of Discrete Curvelet Transform and Nonlocal Tensor Sparse Regularization for SAR Image Despeckling,” In Proceedings of The IEEE International Conference on Imaging Systems and Techniques (IST 2017).

C48.   T. Li, Q. Zhang, Y. Zhu, Y. Liu and G. Li, “High Resolution SAR Imaging with GF-3 Data Using 1-D Compressive Sensing Method,” In Proceedings of 2017 IEEE Asia Pacific Microwave Conference (APMC).

C49.   P. Zhang, L. Yang, G. Chen, and G. Li, “Classification of Drones Based on Micro-Doppler Signatures with Dual-band Radar Sensors,” In Proceedings of Progress In Electromagnetics Research Symposium (PIERS 2017).

C50.   Z. Liu, L. Zhang, G. Li, and Y. He, “Change Detection in Heterogeneous Remote Sensing Images Based on the Fusion of Pixel Transformation,” In Proceedings of International Conference on Information Fusion (FUSION 2017).

C51.   X. Wang , G. Li, and Y. Liu, "Multi-Polarization Radar Imaging Using Two-Level Block Matching Pursuit, "In Proceedings of International Conference on Radar Systems 2017.

C52.   G. Chen, G. Li, Y. Liu, X.-P. Zhang, and L. Zhang, "SAR Image Despeckling by Combination of Fractional-order Total Variation and nonlocal low rank regularization," In Proceedings of IEEE International Conference on Image Processing (ICIP) 2017.  

C53.   G. Li, R. Zhang, M. Ritchie, and H. Griffiths, “Sparsity-Based Dynamic Hand Gesture Recognition Using Micro-Doppler Signatures,” In Proceedings of 2017 IEEE Radar Conference. (Invited)

C54.   T. Li, Q. Zhang, and G. Li, “An Adaptive Sparse Measurement Matrix Design and Selection Strategy for Compressive Sensing SAR,” In Proceedings of 2016 CIE International Conference on Radar.

C55.   S. Zhang , G. Li, M. Ritchie, F. Fioranelli, and H. Griffiths, “Dynamic Hand Gesture Classification Based on Radar Micro-Doppler Signatures,” In Proceedings of 2016 CIE International Conference on Radar.

C56.   L. Yang, G. Li, M. Ritchie, F. Fioranelli, and H. Griffiths, “Gait Classification Based on Micro-Doppler Features,” In Proceedings of 2016 CIE International Conference on Radar.

C57.   R. Zhang and G. Li, “Multistatic Micro-Doppler Signatures for Rotation Radius Estimation,” In Proceedings of 2016 CIE International Conference on Radar.

C58.   C. Zheng, G. Li, and Y. Li, “High Resolution Through-wall Radar Imaging Using Hyperparameter-Free LIKES Method,” In Proceedings of International Geoscience and Remote Sensing Symposium (IGARSS) 2016.

C59.   C. Zheng, G. Li, and Q. Zhang, “An improved noise subspace fitting algorithm for through-wall radar imaging,” In Proceedings of European Radar Conference 2016.

C60.   Y. Chen, G. Li, and Q. Zhang, “Modified Multiple-Measurement Vector Model for SAR Imaging,” In Proceedings of 2016 IEEE Radar Conference.

C61.   W. Zhao and G. Li, C. Zheng, and F. Ge, “Capon Cepstrum Weighted L2,1 Minimization for Wideband DOA Estimation With Sonar Arrays,” In Proceedings of OCEANS 2016 MTS/IEEE.

C62.   C. Zheng, G. Li, and Y. Li, “Subspace fitting via sparse representation of signal covariance for DOA estimation”, In Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2016.

C63.   R. Zhang, G. Li, C. Clemente, and P. K. Varshney, “Helicopter Classification via Period Estimation and Time-Frequency Masks,” In Proceedings of 2015 IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP). (Invited)

C64.   Y. Chen, W. Zhao, G. Li, and Q. Zhang, “Parametric Sparse Representation Method for SAR Parameter Estimation,” In Proceedings of IET International Radar Conference 2015.

C65.   R. Zhang and G. Li, “A Histogram Based Method for Micro-Doppler Interference Removal,” In Proceedings of IET International Radar Conference 2015.

C66.   F. K. Coutts, D. Gaglione, C. Clemente, G. Li, I. K. Proudler, and J. J. Soraghan, “Label Consistent K-SVD for Sparse Micro-Doppler Classification,” In Proceedings of The 20th International Conference on Digital Signal Processing (DSP) 2015.

C67.   D. Gaglione, C. Clemente, F. Coutts, G. Li, and J. J. Soraghan, “Model-Based Sparse Recovery Method for Automatic Classification of Helicopters,” In Proceedings of 2015 IEEE International Radar Conference. (The Best Student Paper, The First Prize)

C68.   C. Zheng, G. Li, and Y. Li, “A weighted L2,1 minimization with pisarenko-class cepstrum for stepped frequency radar imaging”, In Proceedings of The Third IEEE China Summit and International Conference on Signal and Information Processing (ChinaSIP) 2015.

C69.   W. Zhao and G. Li, “On the detection probability of sparse signals with sensor networks based on distributed subspace pursuit,” In Proceedings of The Third IEEE China Summit and International Conference on Signal and Information Processing (ChinaSIP) 2015. (Invited)

C70.   C. Peng, G. Li, and R. J. Burkholder, “Fusion of polarimetric radar images using hybrid matching pursuit,” In Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2015.

C71.   G. Li, H. Zhang, T. Wimalajeewa, and P. K. Varshney, “On the Detection of Sparse Signals with Sensor Networks based on Subspace Pursuit,” in Proceedings of The IEEE Global Conference on Signal and Information Processing (GlobalSIP) 2014.

C72.   G. Li, P. K. Varshney, and Y. D. Zhang, “Multistatic Radar Imaging via Decentralized and Collaborative Subspace Pursuit,” In Proceedings of The 19th International Conference on Digital Signal Processing (DSP) 2014. 

C73.   G. Li, T. Wimalajeewa, and P. K. Varshney, “Decentralized Subspace Pursuit for Joint Sparsity Pattern Recovery”, In Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2014.

C74.   H. Shi, H. Zhang, G. Li, and X. Wang. “Stable Grassmann Manifold Embedding via Gaussian Random Matrices”, In Proceedings of IEEE International Symposium on Information Theory (ISIT) 2014.

C75.   G. Li, R. Zhang, W. Rao, and X. Wang, “Separation of multiple Micro-Doppler components via parametric sparse recovery”, In Proceedings of International Geoscience and Remote Sensing Symposium (IGARSS) 2013, pp. 2978–2981.

C76.   W. Rao, G. Li, and X. Wang,“ISAR imaging via adaptive sparse recovery,” In Proceedings of International Geoscience and Remote Sensing Symposium (IGARSS) 2013.

C77.   C. Zheng, G. Li, P. Li, and X. Wang, “Hyperparameter-free DOA estimation under power constraints,” In Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2013, pp. 3991-3995.

C78.   G. E. Smith, C. J. Baker, and G. Li, “Echoic Flow For Radar Target Interception,” In Proceedings of International Conference on Radar 2013.

C79.   G. E. Smith, C. J. Baker, and G. Li, “Coupled Echoic Flow For Cognitive Radar Sensing,” In Proceedings of IEEE Radar Conference 2013.

C80.   X. Yu, W. Rao, G. Li, and H. Zhang, "ISAR motion compensation via Parametric Compressed Sensing," In Proceedings of IEEE Radar Conference 2013.

C81.   Z. Liu, G. Li, H. Zhang, and X. Wang, "Sparse-Driven SAR Imaging Using MMV-StOMP," In Proceedings of 1st International workshop on Compressed Sensing applied to Radar (CoSeRa 2012).

C82.   W. Rao, G. Li, and X. Wang, "A Novel Parametric Sparse Recovery Method for ISAR Image Formation," In Proceedings of 1st International workshop on Compressed Sensing applied to Radar (CoSeRa 2012).

C83.   C. Zheng, G. Li, Y. Liu, and X. Wang, "Weighted L2,1 minimization with application to stepped-frequency radar imaging," In Proceedings of 1st International workshop on Compressed Sensing applied to Radar (CoSeRa 2012).

C84.   C. Hu, H. Meng, Wei Wang, G. Li, and X. Wang, "Random Switch Antenna Array FMCW Radar and Its Signal Processing Method," In Proceedings of IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM 2012)

C85.   T. Huang, Y. Liu, G. Li, and X. Wang, "Randomized Stepped Frequency ISAR Imaging," In Proceedings of IEEE Radar Conference 2012, pp. 553-557.

C86.   G. Li, X. Wang, and X.-G. Xia, "ISAR Imaging Using Parametric L0-Norm Minimization", In Proceedings of IEEE Radar Conference 2012, pp.421-424.

C87.   Z. Liu, G. Li, H. Zhang, and X. Wang, "SAR Imaging of Dominant Scatterers Using Cascading StOMP," In Proceedings of CIE Radar Conference 2011, pp.1676-1679.

C88.   C. Hu, H. Meng, G. Li, and X. Wang, "An Improved FOCUSS Algorithm for Multi-Channel FMCW Radar Imaging of Distributed Targets," In Proceedings of CIE Radar Conference 2011, pp. 677-680.

C89.   W. Rao, G. Li, X. Wang, and Xiang-Gen Xia, "ISAR imaging of uniformly rotating targets via parametric weighted L1 minimization," In Proceedings of Asia-Pacific Conference on Synthetic Aperture Radar (APSAR) 2011, pp. 363-366.

C90.   W. Rao, G. Li, X. Wang, and X.-G. Xia, "ISAR imaging of uniformly rotating targets via parametric matching pursuit," In Proceedings of International Geoscience and Remote Sensing Symposium (IGARSS) 2011, pp. 1682-1685.

C91.   C. Zheng, G. Li, H. Zhang, and X. Wang, "An approach of DOA estimation using noise subspace L1 minimization," In Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2011, pp. 2856-2859.

C92.   W. Rao, G. Li, X. Wang, and X.-G. Xia, "ISAR imaging of maneuvering targets with missing data via matching pursuit," In Proceedings of IEEE RADAR Conference 2011, pp. 124-128.

C93.   C. Zheng, G. Li, H. Zhang, X. Wang, “An approach of regularization parameter estimation for sparse signal recovery,” In Proceedings of International Conference on Signal Processing (ICSP) 2010, pp. 385-388.

C94.   G. Li, H. Zhang, X. Wang, X.-G. Xia, "ISAR imaging of maneuvering targets via matching pursuit," In Proceedings of International Geoscience and Remote Sensing Symposium (IGARSS) 2010, pp. 1625-1628.

C95.   J. Wang, G. Li, Y. Liu, and X. Wang, "SAR Imaging of moving targets via compressive sensing," In Proceedings of International Conference on Electrical and Control Engineering, 2010, pp. 1855-1858.

C96.   K. Sun, H. Zhang, G. Li, H. Meng, and X. Wang, "A novel STAP algorithm using sparse recovery technique," In Proceedings of International Geoscience and Remote Sensing Symposium (IGARSS) 2009, pp. V336-V339.

C97.   G. Li, Y.-N. Peng, and X.-G. Xia, "Doppler Keystone transform for SAR imaging of moving targets," In Proceedings of International Congress on Image and Signal Processing 2008, vol. 4, pp.716-719.

C98.   J. Xu, G. Li, Y.-N. Peng, X.-G. Xia, and Y.-L. Wang, "VSAR parameter estimation based on azimuth multi-look processing," In Proceedings of IEEE Radar Conference 2008.

C99.   J. Xu, G. Li, Y.-N. Peng, X.-G. Xia, and Y.-L. Wang, "Moving target location of VSAR based on maximum likelihood method," In Proceedings of 1st Asian and Pacific Conference on SAR (APSAR) 2007, pp. 293-297.

C100.  G. Li, J. Xu, Y.-N. Peng, and X.-G. Xia, "Improved RDM for SAR autofocus processing," In Proceedings of 1st Asian and Pacific Conference on SAR (APSAR) 2007, pp. 401-403.

C101.  J. Xu, G. Li, Y.-N. Peng, X.-G. Xia, and Y.-L. Wang, "Adaptive detection of moving target based on velocity synthetic aperture radar," In Proceedings of IEEE Radar Conference 2007, pp. 783-788.

C102.  Y. Zuo, G. Li, J. Xu, Y.-N. Peng, and X.-G. Xia, "Detection and location of fast moving targets using minimum redundancy linear array SAR," In Proceedings of CIE International Conference on Radar 2006.

C103.  G. Li, J. Xu, Y.-N. Peng, and X.-G. Xia, "Detection, location and imaging of fast moving targets using non-uniform linear antenna array SAR," In Proceedings of International Conference on Signal Processing (ICSP) 2006, vol. 4, pp. 16-20.

C104.  G. Li, J. Xu, Y.-N. Peng, and X.-G. Xia, "Detection, velocity estimation and imaging of fast moving target using single channel SAR," In Proceedings of CIE International Conference on Radar 2006.

C105.  G. Li, J. Xu, Y.-N. Peng, and X.-G. Xia, " Velocity layover solution in VSAR image," In Proceedings of CIE International Conference on Radar 2006.

C106.  G. Li, J. Xu, Y.-N. Peng, and X.-G. Xia, "Moving target location and imaging using dual-Speed velocity SAR," In Proceedings of IEEE Antennas and Propagation Society International Symposium 2006, pp. 2701-2704.

C107.  J. Xu, G. Li, J. Li, Y.-N. Peng, and X.-G. Xia, "An effective SAR Doppler center estimation method based on inner product," In Proceedings of IEEE International Radar Conference 2005, pp. 769-771.