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ORCIDMing Li 0004
Person information
- affiliation: Xidian University, National Key Lab of Radar Signal Processing, Xi'an, China
Other persons with the same name
- Ming Li — disambiguation page
- Ming Li 0001
![[0000-0002-2157-2775]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-2157-2775")
— University of Waterloo, ON, Canada (and 3 more) - Ming Li 0002 — East China Normal University, Shanghai, China (and 1 more)
- Ming Li 0003 (aka: Ming (Fred) Li) — University of Arizona, Tucson, AZ, USA (and 2 more)
- Ming Li 0005 — Nanjing University, National Key Laboratory for Novel Software Technology, China
- Ming Li 0006 — University of Texas at Arlington, TX, USA (and 2 more)
- Ming Li 0007 — California State University, Fresno, CA, USA (and 1 more)
- Ming Li 0008 — Worcester Polytechnic Institute, MA, USA
- Ming Li 0009 — IBM T. J. Watson Research Center, Yorktown Heights, NY, USA (and 1 more)
- Ming Li 0010 — Deakin University, VIC, Australia
- Ming Li 0011 — Dalian University of Technology, School of Information and Communication Engineering, China (and 2 more)
- Ming Li 0012 — Taiyuan University of Technology, College of Mathematics, China (and 1 more)
- Ming Li 0013 — China University of Mining & Technology, Xuzhou, China
- Ming Li 0014 — Unilever Corporate Research, Sharnbrook, Bedford, UK
- Ming Li 0015 — Lanzhou University of Technology, China
- Ming Li 0016 — RWTH Aachen University, Germany
- Ming Li 0017 — Zhejiang University, State Key Laboratory of CAD&CG, China
- Ming Li 0018 — Max-Planck-Institut für Informatik, Saarbrücken, Germany
- Ming Li 0019 — Carleton University, Ottawa, ON, Canada
- Ming Li 0020 — Google (and 1 more)
- Ming Li 0021 — Oracle (and 1 more)
- Ming Li 0022 — Vanderbilt University, Department of Biostatistics, Nashville, TN, USA
- Ming Li 0023 — Simon Fraser University, Burnaby, BC, Canada
- Ming Li 0024 — Concordia University, Department of Economics, Montreal, QC, Canada
- Ming Li 0025 — Chinese Academy of Sciences, Institute of Semiconductors, China (and 1 more)
- Ming Li 0026 — Duke Kunshan University, Data Science Research Center, China (and 3 more)
- Ming Li 0028 — National University of Defense Technology, College of Mechatronic Engineering and Automation, Changsha, China
- Ming Li 0029 — Beihang University, School of Automation Science and Electrical Engineering, Beijing, China (and 2 more)
- Ming Li 0030 — Auburn University MRI Research Center, Auburn, USA
- Ming Li 0031 — China University of Mining and Technology, School of Computer Science and Technology, Xuzhou, China
- Ming Li 0032 — Heidelberg University, Institute of Geography, Germany
- Ming Li 0033 — Chinese Academy of Sciences, Institute of Information Engineering, State Key Laboratory of Information Security, Beijing, China
- Ming Li 0034 — Beihang University, Institute of Solid Mechanics, Beijing, China
- Ming Li 0035 — Aalto University, Department of Computer Science, Espoo, Finland
- Ming Li 0036 — Honghe University, Department of Mathematics, Mengzi, Yunnan, China
- Ming Li 0037 — Wuhan University, State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing, China
- Ming Li 0038 — Second Military Medical University, Changhai Hospital, Department of Orthopaedics, Shanghai, China
- Ming Li 0039 — China Jiliang University, Department of Mathematics, Hangzhou, China
- Ming Li 0040 — Nanchang University, ISST, China (and 1 more)
- Ming Li 0041 — Tianjin Normal University, Tianjin Key Laboratory of Wireless Mobile Communications and Power Transmission, China (and 1 more)
- Ming Li 0042 — Hamburg University of Technology, Germany
- Ming Li 0043 — Unilever China (and 1 more)
- Ming Li 0044 — Colorado School of Mines, Department of Electrical Engineering and Computer Science, Golden, CO, USA
- Ming Li 0045 — Shanghai Jiao Tong University, Institute of Image Processing and Pattern Recognition, China
- Ming Li 0046 — Yanshan University, College of Electrical Engineering, Qinhuangdao, China
- Ming Li 0047 — Beijing Jiaotong University, School of Electronic and Information Engineering, China
- Ming Li 0048 — Sun Yat-sen University, School of Geography and Planning, Guangzhou, China
- Ming Li 0049 — Jinan University, College of Information Science and Technology, China
- Ming Li 0051 — China University of Petroleum, School of Economics and Management, Beijing, China
- Ming Li 0052 — National Institutes of Health, Center for Interventional Oncology / National Heart, Lung, and Blood Institute, Bethesda, MD, USA (and 1 more)
- Ming Li 0053 — Macquarie University, Sydney, NSW, Australia (and 3 more)
- Ming Li 0054 — Beihang University, School of Transportation Science and Engineering / Beijing Advanced Innovation Center for Big Data and Brain Computing, Beijing, China
- Ming Li 0055 — Hong Kong Polytechnic University, Department of Industrial and Systems Engineering, Hong Kong (and 2 more)
- Ming Li 0056 — Nanchang Hangkong University, MOE Key Laboratory of Nondestructive Testing, China (and 1 more)
- Ming Li 0057 — Ocean University of China, College of Engineering, Department of Automation, Qingdao, China (and 1 more)
- Ming Li 0058 — Shenyang University of Technology, School of Electrical Engineering, China
- Ming Li 0059 — National University of Defense Technology, College of Meteorology and Oceanography, Nanjing, China
- Ming Li 0060 — Harbin Engineering University, College of Computer Science and Technology, China
- Ming Li 0061 — Rizhao People's Hospital, Department of Nuclear Medicine, China
- Ming Li 0062 — CRRC Tangshan Company, Ltd., Tangshan, China
- Ming Li 0063 — Harbin Institute of Technology, Communication Research Center, China
- Ming Li 0064 — Beijing Institute of Technology, State Key Laboratory of Explosion Science and Technology, China
- Ming Li 0065 — Zhejiang Normal University, Department of Computer Science, Jinhua, China (and 2 more)
- Ming Li 0066 — National University of Defense Technology, College of Electronic Science and Technology, State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System, Changsha, China
- Ming Li 0067 — Lappeenranta University of Technology, LUT, Laboratory of Intelligent Machines, Department of Mechanical Engineering, Finland
- Ming Li 0068 — University of Amsterdam, IRLab, Netherlands (and 1 more)
- Ming Li 0069 — Nanjing University, School of Electronic Science and Engineering, China
- Ming Li 0070 — China University of Petroleum, School of Science, Qingdao, China (and 1 more)
- Ming Li 0071 — Jiangsu Ocean University, Department of Computer Science and Technology, China (and 1 more)
- Ming Li 0072 — Wuhan University of Technology, China (and 1 more)
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2020 – today
- 2025
[j107]Xin Hu, Yan Wu, Zhikang Li, Zhifei Yang, Ming Li:
Multifeature Alignment and Matching Network for SAR and Optical Image Registration. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 18: 352-367 (2025)- 2024
- [j106]Jia Zheng, Ming Li, Peng Zhang, Yan Wu, Hongmeng Chen:
Position-Aware Graph Neural Network for Few-Shot SAR Target Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 8028-8042 (2024) - [j105]Xinyue Xin, Ming Li, Yan Wu, Xiang-Yang Li, Peng Zhang, Dazhi Xu:
PolSAR-MPIformer: A Vision Transformer Based on Mixed Patch Interaction for Dual-Frequency PolSAR Image Adaptive Fusion Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 8527-8542 (2024) - [j104]Dazhi Xu, Ming Li, Yan Wu, Peng Zhang, Xinyue Xin:
Dual Attention-Based Global-Local Feature Extraction Network for Unsupervised Change Detection in PolSAR Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 10842-10861 (2024) - [j103]Xuanran Zhao, Yan Wu, Xin Hu, Zhikang Li, Ming Li:
A Novel Dual-Branch Global and Local Feature Extraction Network for SAR and Optical Image Registration. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 17637-17650 (2024) - [j102]Jiabao Ding, Jiadong Wang, Yachao Li, Ming Li, Endi Zhu, Yitao Wang:
An Efficient ISAR Imaging and Scaling Method for Highly Maneuvering Targets Based on ICPF-PSVA. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - [j101]Zhifei Yang, Yan Wu, Ming Li, Xin Hu, Zhikang Li:
Unsupervised Difference-Guided Adaptive Fusion Network for Change Detection in PolSAR Images. IEEE Trans. Geosci. Remote. Sens. 62: 1-16 (2024) - [j100]Jia Zheng, Ming Li, Xiang Li, Peng Zhang, Yan Wu:
Revisiting Local and Global Descriptor-Based Metric Network for Few-Shot SAR Target Classification. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - 2023
- [j99]Zhifei Yang, Yan Wu, Ming Li, Xin Hu, Zhikang Li:
Unsupervised change detection in PolSAR images using siamese encoder-decoder framework based on graph-context attention network. Int. J. Appl. Earth Obs. Geoinformation 124: 103511 (2023) - [j98]Dazhi Xu, Ming Li, Yan Wu, Peng Zhang, Xinyue Xin, Zhifei Yang:
Difference-guided multiscale graph convolution network for unsupervised change detection in PolSAR images. Neurocomputing 555: 126611 (2023) - [j97]Xingyu Liu, Yan Wu, Xin Hu, Zhikang Li, Ming Li:
A Novel Lightweight Attention-Discarding Transformer for High-Resolution SAR Image Classification. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j96]Xiaoru Zhao, Yan Wu, Xin Hu, Xingyu Liu, Ming Li:
Automatic Registration Algorithm for SAR and Optical Images Based on Shearlet and Sparse Representation. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j95]Yinyin Jiang, Ming Li, Peng Zhang, Wanying Song:
Semisupervised Complex Network With Spatial Statistics Fusion for PolSAR Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 9749-9761 (2023) - [j94]Yice Cao, Yan Wu, Ming Li, Mingjie Zheng, Peng Zhang, Jili Wang:
Multifrequency PolSAR Image Fusion Classification Based on Semantic Interactive Information and Topological Structure. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023) - [j93]Xin Hu, Yan Wu, Xingyu Liu, Zhikang Li, Zhifei Yang, Ming Li:
Intra- and Inter-Modal Graph Attention Network and Contrastive Learning for SAR and Optical Image Registration. IEEE Trans. Geosci. Remote. Sens. 61: 1-16 (2023) - [j92]Weixin Li, Ming Li, Lei Zuo, Hongmeng Chen, Yan Wu, Zhenyu Zhuo:
A Computationally Efficient Airborne Forward-Looking Super-Resolution Imaging Method Based on Sparse Bayesian Learning. IEEE Trans. Geosci. Remote. Sens. 61: 1-13 (2023) - [j91]Xiao-Wei Zhang, Di Yan, Lei Zuo, Ming Li, Jian-Xin Guo:
High-Performance of Eigenvalue Decomposition on FPGA for the DOA Estimation. IEEE Trans. Veh. Technol. 72(5): 5782-5797 (2023) - 2022
- [j90]Wenkai Liang, Yan Wu, Ming Li, Yice Cao:
Adaptive multiple kernel fusion model using spatial-statistical information for high resolution SAR image classification. Neurocomputing 492: 382-395 (2022) - [j89]Xingyu Liu, Yan Wu, Wenkai Liang, Yice Cao, Ming Li:
High Resolution SAR Image Classification Using Global-Local Network Structure Based on Vision Transformer and CNN. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j88]Xiaofeng Tan, Ming Li, Peng Zhang, Wannying Song, Yan Wu, Yinyin Jiang:
Complex Variational Inference Network for PolSAR Classification. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j87]Weixin Li, Ming Li, Lei Zuo, Hao Sun, Hongmeng Chen, Yachao Li:
Forward-Looking Super-Resolution Imaging for Sea-Surface Target with Multi-Prior Bayesian Method. Remote. Sens. 14(1): 26 (2022) - [j86]Lei Zuo, Shan Gao, Yachao Li, Lianghai Li, Ming Li, Xiaofei Lu:
A Fast and Robust Algorithm with Reinforcement Learning for Large UAV Cluster Mission Planning. Remote. Sens. 14(6): 1304 (2022) - [j85]Jiabao Ding, Yachao Li, Ming Li, Jiadong Wang:
Focusing High Maneuvering Bistatic Forward-Looking SAR With Stationary Transmitter Using Extended Keystone Transform and Modified Frequency Nonlinear Chirp Scaling. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 2476-2492 (2022) - [j84]Yice Cao, Yan Wu, Ming Li, Wenkai Liang, Xin Hu:
DFAF-Net: A Dual-Frequency PolSAR Image Classification Network Based on Frequency-Aware Attention and Adaptive Feature Fusion. IEEE Trans. Geosci. Remote. Sens. 60: 1-18 (2022) - [j83]Jiabao Ding, Yachao Li, Jiadong Wang, Ming Li, Jingyi Wei:
Joint Motion Compensation and Distortion Correction for Maneuvering Target Bistatic ISAR Imaging Based on Parametric Minimum Entropy Optimization. IEEE Trans. Geosci. Remote. Sens. 60: 1-19 (2022) - [j82]Yinyin Jiang, Ming Li, Peng Zhang, Xiaofeng Tan, Wanying Song:
Unsupervised Complex-Valued Sparse Feature Learning for PolSAR Image Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022) - [j81]Yinyin Jiang, Ming Li, Peng Zhang, Zhiwei Wang:
Unsupervised Deep Sparse Features Extraction for SAR Image Segmentation. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [j80]Weixin Li, Ming Li, Lei Zuo, Hongmeng Chen, Yan Wu:
Real Aperture Radar Forward-Looking Imaging Based on Variational Bayesian in Presence of Outliers. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022) - [j79]Wenkai Liang, Yan Wu, Ming Li, Yice Cao:
A Feature Fusion-Net Using Deep Spatial Context Encoder and Nonstationary Joint Statistical Model for High-Resolution SAR Image Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-18 (2022) - [j78]Xinyue Xin, Ming Li, Yan Wu, Mingjie Zheng, Peng Zhang, Dazhi Xu, Jili Wang:
Semi-Supervised Classification of Dual-Frequency PolSAR Image Using Joint Feature Learning and Cross Label-Information Network. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022) - [c9]Gaofeng Liu, Ming Li, Peng Zhang:
FAST AND VALID $\mathrm{H}/\alpha$ DECOMPOSITION COMBINED WITH MODEL-BASED DECOMPOSITION FOR POLSAR DATA. ICARCV 2022: 334-336 - 2021
- [j77]Yinyin Jiang, Ming Li, Peng Zhang, Xiaofeng Tan, Wanying Song:
Hierarchical fusion convolutional neural networks for SAR image segmentation. Pattern Recognit. Lett. 147: 115-123 (2021) - [j76]Wenkai Liang, Yan Wu, Ming Li, Yice Cao, Xin Hu:
High-Resolution SAR Image Classification Using Multi-Scale Deep Feature Fusion and Covariance Pooling Manifold Network. Remote. Sens. 13(2): 328 (2021) - [j75]Yice Cao, Yan Wu, Ming Li, Wenkai Liang, Peng Zhang:
PolSAR Image Classification Using a Superpixel-Based Composite Kernel and Elastic Net. Remote. Sens. 13(3): 380 (2021) - [j74]Weixin Li, Ming Li, Lei Zuo, Hao Sun, Hongmeng Chen, Xiaofei Lu:
Azimuth super-resolution of forward-looking imaging based on bayesian learning in complex scene. Signal Process. 187: 108141 (2021) - [j73]Hao Sun, Ming Li, Lei Zuo, Peng Zhang:
Joint Radar Scheduling and Beampattern Design for Multitarget Tracking in Netted Colocated MIMO Radar Systems. IEEE Signal Process. Lett. 28: 1863-1867 (2021) - [j72]Peng Zhang, Xiaofeng Tan, Beibei Li, Yinyin Jiang, Wanying Song, Ming Li, Yan Wu:
PolSAR Image Classification Using Hybrid Conditional Random Fields Model Based on Complex-Valued 3-D CNN. IEEE Trans. Aerosp. Electron. Syst. 57(3): 1713-1730 (2021) - [j71]Peng Zhang, Mohamed El Yazid Boudaren, Yinyin Jiang, Wanying Song, Beibei Li, Ming Li, Yan Wu:
High-Order Triplet CRF-PCANet for Unsupervised Segmentation of Nonstationary SAR Image. IEEE Trans. Geosci. Remote. Sens. 59(10): 8433-8454 (2021) - [j70]Xiaofeng Tan, Ming Li, Peng Zhang, Yan Wu, Wanying Song:
Deep Triplet Complex-Valued Network for PolSAR Image Classification. IEEE Trans. Geosci. Remote. Sens. 59(12): 10179-10196 (2021) - [j69]Xiao-Wei Zhang, Lei Zuo, Ming Li, Jian-Xin Guo:
High-Throughput FPGA Implementation of Matrix Inversion for Control Systems. IEEE Trans. Ind. Electron. 68(7): 6205-6216 (2021) - [j68]Hao Sun, Ming Li, Lei Zuo, Peng Zhang:
Resource Allocation for Multitarget Tracking and Data Reduction in Radar Network With Sensor Location Uncertainty. IEEE Trans. Signal Process. 69: 4843-4858 (2021) - [c8]Ran Zhang, Lei Zuo, Pengfei Wang, Ming Li:
IMMPDA Algorithm for Missile Tracking in Clutter. ICCAIS 2021: 178-182 - [c7]Hao Sun, Ming Li, Lei Zuo, Xiaofei Lu, Pengfei Wang:
Optimal Beampattern Design for Resource-Aware Multitarget Tracking in Netted Colocated MIMO Radar Systems. ICCAIS 2021: 199-204 - [i2]Wenkai Liang, Yan Wu, Ming Li, Peng Zhang, Yice Cao, Xin Hu:
A Feature Fusion-Net Using Deep Spatial Context Encoder and Nonstationary Joint Statistical Model for High Resolution SAR Image Classification. CoRR abs/2105.04799 (2021) - 2020
- [j67]Weixin Li, Ming Li, Runqing Cao, Lei Zuo, Hao Sun:
Non-searching coherent integration method for maneuvering target detection by using non-uniformly resampling technique. Digit. Signal Process. 96 (2020) - [j66]Zeyu Wang, Gang Li, Ming Li:
Adaptive detection of distributed target in the presence of signal mismatch in compound Gaussian clutter. Digit. Signal Process. 102: 102755 (2020) - [j65]Xiaofeng Tan, Ming Li, Peng Zhang, Yan Wu, Wanying Song:
Complex-Valued 3-D Convolutional Neural Network for PolSAR Image Classification. IEEE Geosci. Remote. Sens. Lett. 17(6): 1022-1026 (2020) - [j64]Hao Sun, Ming Li, Lei Zuo, Runqing Cao:
Joint threshold optimization and power allocation of cognitive radar network for target tracking in clutter. Signal Process. 172: 107566 (2020) - [j63]Peng Zhang, Beibei Li, Mohamed El Yazid Boudaren, Junkun Yan, Ming Li, Yan Wu:
Parameter Estimation of Generalized Gamma Distribution Toward SAR Image Processing. IEEE Trans. Aerosp. Electron. Syst. 56(5): 3701-3717 (2020) - [j62]Wenkai Liang, Yan Wu, Ming Li, Yice Cao:
High-Resolution SAR Image Classification Using Context-Aware Encoder Network and Hybrid Conditional Random Field Model. IEEE Trans. Geosci. Remote. Sens. 58(8): 5317-5335 (2020) - [c6]Peng Zhang, Yinyin Jiang, Beibei Li, Ming Li, Mohamed El Yazid Boudaren, Wanying Song, Yan Wu:
High-Order Triplet CRF-Pcanet for Unsupervised Segmentation of SAR Image. IGARSS 2020: 1460-1463
2010 – 2019
- 2019
- [j61]Wanying Song, Ming Li, Peng Zhang, Yan Wu, Xiaofeng Tan:
Superpixel-Based Hybrid Discriminative Random Field for Fast PolSAR Image Classification. IEEE Access 7: 24547-24558 (2019) - [j60]Runqing Cao, Ming Li, Lei Zuo, Hao Sun:
A new coherent integration method for weak maneuvering target with jerk motion. Digit. Signal Process. 92: 206-222 (2019) - [j59]Mengke Li, Ming Li, Peng Zhang, Yan Wu, Wanying Song, Lin An:
SAR Image Change Detection Using PCANet Guided by Saliency Detection. IEEE Geosci. Remote. Sens. Lett. 16(3): 402-406 (2019) - [j58]Yice Cao, Yan Wu, Peng Zhang, Wenkai Liang, Ming Li:
Pixel-Wise PolSAR Image Classification via a Novel Complex-Valued Deep Fully Convolutional Network. Remote. Sens. 11(22): 2653 (2019) - [j57]Hongmeng Chen, Zeyu Wang, Jing Liu, Xiaoli Yi, Hanwei Sun, Heqiang Mu, Ming Li, Yaobing Lu:
Knowledge-Aided Doppler Beam Sharpening Super-Resolution Imaging by Exploiting the Spatial Continuity Information. Sensors 19(8): 1920 (2019) - [j56]Runqing Cao, Ming Li, Lei Zuo, Hao Sun:
Fast parameter estimation method for maneuvering target by using non-uniformly resampling reducing order technique. Signal Process. 160: 299-315 (2019) - [j55]Wanying Song, Ming Li, Peng Zhang, Yan Wu:
Fuzziness Modeling of Polarized Scattering Mechanisms and PolSAR Image Classification Using Fuzzy Triplet Discriminative Random Fields. IEEE Trans. Geosci. Remote. Sens. 57(7): 4980-4993 (2019) - [i1]Yice Cao, Yan Wu, Peng Zhang, Wenkai Liang, Ming Li:
Pixel-Wise PolSAR Image Classification via a Novel Complex-Valued Deep Fully Convolutional Network. CoRR abs/1909.13299 (2019) - 2018
- [j54]Lin An, Ming Li, Mohamed El Yazid Boudaren, Wojciech Pieczynski:
Unsupervised segmentation of hidden Markov fields corrupted by correlated non-Gaussian noise. Int. J. Approx. Reason. 102: 41-59 (2018) - [j53]Ming Li, Hongwei Liu, Zexian Liu:
A new subspace minimization conjugate gradient method with nonmonotone line search for unconstrained optimization. Numer. Algorithms 79(1): 195-219 (2018) - [j52]Peng Zhang, Ming Li, Wanying Song, Yan Wu, Lin An:
Triplet Hybrid Discriminative Fields Model Based on Bayesian Fusion for Unsupervised Nonstationary SAR Image Multiclass Segmentation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(12): 4848-4861 (2018) - [j51]Wanying Song, Ming Li, Peng Zhang, Yan Wu, Xiaofeng Tan, Lin An:
Mixture WG Γ-MRF Model for PolSAR Image Classification. IEEE Trans. Geosci. Remote. Sens. 56(2): 905-920 (2018) - [j50]Jianwei Fan, Yan Wu, Ming Li, Wenkai Liang, Yice Cao:
SAR and Optical Image Registration Using Nonlinear Diffusion and Phase Congruency Structural Descriptor. IEEE Trans. Geosci. Remote. Sens. 56(9): 5368-5379 (2018) - 2017
- [j49]Zeyu Wang, Ming Li, Yunlong Lu, Lei Zuo, Peng Zhang, Yan Wu:
Model-based Rao test for adaptive range-spread target detection. Digit. Signal Process. 69: 300-308 (2017) - [j48]Fan Wang, Yan Wu, Peng Zhang, Wenkai Liang, Ming Li:
Synthetic aperture radar image segmentation using non-linear diffusion-based hierarchical triplet Markov fields model. IET Image Process. 11(12): 1302-1309 (2017) - [j47]Zeyu Wang, Ming Li, Yunlong Lu, Hongmeng Chen, Yan Wu:
Efficient TR-TBD algorithm for slow-moving weak multi-targets in heavy clutter environment. IET Signal Process. 11(4): 422-428 (2017) - [j46]Hongmeng Chen, Ming Li, Zeyu Wang, Yunlong Lu, Runqing Cao, Peng Zhang, Lei Zuo, Yan Wu:
Cross-Range Resolution Enhancement for DBS Imaging in a Scan Mode Using Aperture-Extrapolated Sparse Representation. IEEE Geosci. Remote. Sens. Lett. 14(9): 1459-1463 (2017) - [j45]Fan Wang, Yan Wu, Peng Zhang, Qingjun Zhang, Ming Li:
Unsupervised SAR Image Segmentation Using Ambiguity Label Information Fusion in Triplet Markov Fields Model. IEEE Geosci. Remote. Sens. Lett. 14(9): 1479-1483 (2017) - [j44]Hongmeng Chen, Ming Li, Zeyu Wang, Yunlong Lu, Runqing Cao, Yan Wu:
Synthetic bandwidth azimuth modulation imaging radar for airborne single-channel forward-looking imaging. Signal Process. 130: 86-92 (2017) - [j43]Hongmeng Chen, Yaobing Lu, Heqiang Mu, Xiaoli Yi, Jing Liu, Zeyu Wang, Ming Li, Yan Wu:
Efficient forward-looking imaging via synthetic bandwidth azimuth modulation imaging radar for high-speed platform. Signal Process. 138: 63-70 (2017) - [j42]Jianwei Fan, Yan Wu, Ming Li, Wenkai Liang, Qiang Zhang:
SAR Image Registration Using Multiscale Image Patch Features With Sparse Representation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10(4): 1483-1493 (2017) - [j41]Wanying Song, Ming Li, Peng Zhang, Yan Wu, Lu Jia, Lin An:
Unsupervised PolSAR Image Classification and Segmentation Using Dirichlet Process Mixture Model and Markov Random Fields With Similarity Measure. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10(8): 3556-3568 (2017) - [j40]Fan Wang, Yan Wu, Ming Li, Peng Zhang, Qingjun Zhang:
Adaptive Hybrid Conditional Random Field Model for SAR Image Segmentation. IEEE Trans. Geosci. Remote. Sens. 55(1): 537-550 (2017) - [j39]Jianwei Fan, Yan Wu, Fan Wang, Peng Zhang, Ming Li:
New Point Matching Algorithm Using Sparse Representation of Image Patch Feature for SAR Image Registration. IEEE Trans. Geosci. Remote. Sens. 55(3): 1498-1510 (2017) - [j38]Lei Zuo, Ming Li, Xiang-Gen Xia:
New Smoothed Time-Frequency Rate Representations for Suppressing Cross Terms. IEEE Trans. Signal Process. 65(3): 733-747 (2017) - [j37]Zeyu Wang, Ming Li, Hongmeng Chen, Lei Zuo, Peng Zhang, Yan Wu:
Adaptive Detection of a Subspace Signal in Signal-Dependent Interference. IEEE Trans. Signal Process. 65(18): 4812-4820 (2017) - 2016
- [j36]Lu Jia, Ming Li, Peng Zhang, Yan Wu, Huahui Zhu:
SAR Image Change Detection Based on Multiple Kernel K-Means Clustering With Local-Neighborhood Information. IEEE Geosci. Remote. Sens. Lett. 13(6): 856-860 (2016) - [j35]Peng Zhang, Ming Li, Yan Wu, Lin An, Lu Jia:
Unsupervised SAR image segmentation using high-order conditional random fields model based on product-of-experts. Pattern Recognit. Lett. 78: 48-55 (2016) - [j34]Zeyu Wang, Ming Li, Hongmeng Chen, Yunlong Lu, Runqing Cao, Peng Zhang, Lei Zuo, Yan Wu:
Persymmetric detectors of distributed targets in partially homogeneous disturbance. Signal Process. 128: 382-388 (2016) - [j33]Lin An, Ming Li, Peng Zhang, Yan Wu, Lu Jia, Wanying Song:
Discriminative Random Fields Based on Maximum Entropy Principle for Semisupervised SAR Image Change Detection. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9(8): 3395-3404 (2016) - [j32]Lu Jia, Ming Li, Peng Zhang, Yan Wu, Lin An, Wanying Song:
Remote-Sensing Image Change Detection With Fusion of Multiple Wavelet Kernels. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9(8): 3405-3418 (2016) - [j31]Lu Jia, Ming Li, Peng Zhang, Yan Wu:
SAR Image Change Detection Based on Correlation Kernel and Multistage Extreme Learning Machine. IEEE Trans. Geosci. Remote. Sens. 54(10): 5993-6006 (2016) - [j30]Lei Zuo, Ming Li, Zheng Liu, Lin Ma:
A High-Resolution Time-Frequency Rate Representation and the Cross-Term Suppression. IEEE Trans. Signal Process. 64(10): 2463-2474 (2016) - [c5]Lin An, Ming Li, Mohamed El Yazid Boudaren, Wojciech Pieczynski:
Evidential Correlated Gaussian Mixture Markov Model for Pixel Labeling Problem. BELIEF 2016: 203-211 - 2015
- [j29]Jianwei Fan, Yan Wu, Fan Wang, Qiang Zhang, Guisheng Liao, Ming Li:
SAR Image Registration Using Phase Congruency and Nonlinear Diffusion-Based SIFT. IEEE Geosci. Remote. Sens. Lett. 12(3): 562-566 (2015) - [j28]Hejing Li, Ming Li, Peng Zhang, Wanying Song, Lin An, Yan Wu:
SAR Image Change Detection Based on Hybrid Conditional Random Field. IEEE Geosci. Remote. Sens. Lett. 12(4): 910-914 (2015) - [j27]Lin An, Ming Li, Peng Zhang, Yan Wu, Lu Jia, Wanying Song:
Multicontextual Mutual Information Data for SAR Image Change Detection. IEEE Geosci. Remote. Sens. Lett. 12(9): 1863-1867 (2015) - [j26]Wanying Song, Ming Li, Peng Zhang, Yan Wu, Lu Jia, Lin An:
The WGΓ Distribution for Multilook Polarimetric SAR Data and Its Application. IEEE Geosci. Remote. Sens. Lett. 12(10): 2056-2060 (2015) - [j25]Lu Jia, Ming Li, Yan Wu, Peng Zhang, Gaofeng Liu, Hongmeng Chen, Lin An:
SAR Image Change Detection Based on Iterative Label-Information Composite Kernel Supervised by Anisotropic Texture. IEEE Trans. Geosci. Remote. Sens. 53(7): 3960-3973 (2015) - [j24]Peng Zhang, Ming Li, Yan Wu, Hejing Li:
Hierarchical Conditional Random Fields Model for Semisupervised SAR Image Segmentation. IEEE Trans. Geosci. Remote. Sens. 53(9): 4933-4951 (2015) - 2014
- [j23]Fan Wang, Yan Wu, Jianwei Fan, Xue Zhang, Qiang Zhang, Ming Li:
Synthetic aperture radar image segmentation using fuzzy label field-based triplet Markov fields model. IET Image Process. 8(12): 856-865 (2014) - [j22]Gaofeng Liu, Ming Li, Yajun Wang, Peng Zhang, Yan Wu, Hongwei Liu:
Four-Component Scattering Power Decomposition of Remainder Coherency Matrices Constrained for Nonnegative Eigenvalues. IEEE Geosci. Remote. Sens. Lett. 11(2): 494-498 (2014) - [j21]Ming Liu, Yan Wu, Wei Zhao, Qiang Zhang, Ming Li, Guisheng Liao:
Dempster-Shafer Fusion of Multiple Sparse Representation and Statistical Property for SAR Target Configuration Recognition. IEEE Geosci. Remote. Sens. Lett. 11(6): 1106-1110 (2014) - [j20]Xiaojie Lian, Yan Wu, Wei Zhao, Fan Wang, Qiang Zhang, Ming Li:
Unsupervised SAR Image Segmentation Based on Conditional Triplet Markov Fields. IEEE Geosci. Remote. Sens. Lett. 11(7): 1185-1189 (2014) - [j19]Gaofeng Liu, Ming Li, Yan Wu, Peng Zhang, Lu Jia, Hongwei Liu:
PolSAR Image Classification Based on Wishart TMF With Specific Auxiliary Field. IEEE Geosci. Remote. Sens. Lett. 11(7): 1230-1234 (2014) - [j18]Qiang Zhang, Yan Wu, Wei Zhao, Fan Wang, Jianwei Fan, Ming Li:
Multiple-Scale Salient-Region Detection of SAR Image Based on Gamma Distribution and Local Intensity Variation. IEEE Geosci. Remote. Sens. Lett. 11(8): 1370-1374 (2014) - [j17]Lu Jia, Ming Li, Yan Wu, Peng Zhang, Hongmeng Chen, Lin An:
Semisupervised SAR Image Change Detection Using a Cluster-Neighborhood Kernel. IEEE Geosci. Remote. Sens. Lett. 11(8): 1443-1447 (2014) - [j16]Xiao-Wei Zhang, Ming Li, Lei Zuo, Yan Wu, Peng Zhang:
Adaptive Subspace Detection for Wideband Radar Using Sparsity in Sinc Basis. IEEE Geosci. Remote. Sens. Lett. 11(11): 1916-1920 (2014) - [j15]Xiao-Wei Zhang, Ming Li, Lei Zuo, Yan Wu, Peng Zhang:
Compressed Sensing Detector for Wideband Radar Using the Dominant Scatterer. IEEE Signal Process. Lett. 21(10): 1275-1279 (2014) - [j14]Fan Wang, Yan Wu, Qiang Zhang, Wei Zhao, Ming Li, Guisheng Liao:
Unsupervised SAR Image Segmentation Using Higher Order Neighborhood-Based Triplet Markov Fields Model. IEEE Trans. Geosci. Remote. Sens. 52(8): 5193-5205 (2014) - 2013
- [j13]Yan Wu, Peng Zhang, Ming Li, Qiang Zhang, Fan Wang, Lu Jia:
SAR image multiclass segmentation using a multiscale and multidirection triplet Markov fields model in nonsubsampled contourlet transform domain. Inf. Fusion 14(4): 441-449 (2013) - [j12]Ming Liu, Yan Wu, Peng Zhang, Qiang Zhang, Yanxin Li, Ming Li:
SAR Target Configuration Recognition Using Locality Preserving Property and Gaussian Mixture Distribution. IEEE Geosci. Remote. Sens. Lett. 10(2): 268-272 (2013) - [j11]Fan Wang, Yan Wu, Qiang Zhang, Peng Zhang, Ming Li, Yunlong Lu:
Unsupervised Change Detection on SAR Images Using Triplet Markov Field Model. IEEE Geosci. Remote. Sens. Lett. 10(4): 697-701 (2013) - [j10]Peng Zhang, Ming Li, Yan Wu, Gaofeng Liu, Hongmeng Chen, Lu Jia:
Unsupervised SAR Image Segmentation Using a Hierarchical TMF Model. IEEE Geosci. Remote. Sens. Lett. 10(5): 971-975 (2013) - [j9]Lei Zuo, Ming Li, Xiaowei Zhang, Yajun Wang, Yan Wu:
An Efficient Method for Detecting Slow-Moving Weak Targets in Sea Clutter Based on Time-Frequency Iteration Decomposition. IEEE Trans. Geosci. Remote. Sens. 51(6-2): 3659-3672 (2013) - [j8]Lei Zuo, Ming Li, Xiaowei Zhang, Peng Zhang, Yan Wu:
CFAR Detection of Range-Spread Targets Based on the Time-Frequency Decomposition Feature of Two Adjacent Returned Signals. IEEE Trans. Signal Process. 61(24): 6307-6319 (2013) - 2012
- [j7]Peng Zhang, Ming Li, Yan Wu, Ming Liu, Fan Wang, Lu Gan:
SAR Image Multiclass Segmentation Using a Multiscale TMF Model in Wavelet Domain. IEEE Geosci. Remote. Sens. Lett. 9(6): 1099-1103 (2012) - [j6]Peng Zhang, Ming Li, Yan Wu, Lu Gan, Ming Liu, Fan Wang, Gaofeng Liu:
Unsupervised multi-class segmentation of SAR images using fuzzy triplet Markov fields model. Pattern Recognit. 45(11): 4018-4033 (2012) - [j5]Peng Zhang, Ming Li, Yan Wu, Lu Gan, Fan Wang, Ping Xiao:
An improved particle filter algorithm based on Markov Random Field modeling in stationary wavelet domain for SAR image despeckling. Pattern Recognit. Lett. 33(10): 1316-1328 (2012) - 2011
- [j4]Yan Wu, Xin Wang, Ping Xiao, Lu Gan, Chunyan Liu, Ming Li:
Fast algorithm based on triplet Markov fields for unsupervised multi-class segmentation of SAR images. Sci. China Inf. Sci. 54(7): 1524-1533 (2011) - [j3]Yan Wu, Ming Li, Peng Zhang, Haitao Zong, Ping Xiao, Chunyan Liu:
Unsupervised multi-class segmentation of SAR images using triplet Markov fields models based on edge penalty. Pattern Recognit. Lett. 32(11): 1532-1540 (2011)
2000 – 2009
- 2009
- [j2]Ming Li, Yan Wu, Qiang Zhang:
SAR image segmentation based on mixture context and wavelet hidden-class-label Markov random field. Comput. Math. Appl. 57(6): 961-969 (2009) - [c4]Yan Wu, Ming Li, Haitao Zong, Xin Wang:
Fusion Segmentation Algorithm for SAR Images Based on HMT in Contourlet Domain and D-S Theory of Evidence. ICCSA (2) 2009: 937-951 - 2007
- [j1]Yan Wu, Ming Li, Guisheng Liao:
Multiple features data fusion method in color texture analysis. Appl. Math. Comput. 185(2): 784-797 (2007) - [c3]Ming Li, Yan Wu, Shunjun Wu:
SAR Image Segmentation Based on Mixture Context and Wavelet Hidden-Class-Label Markov Random Field. FSKD (3) 2007: 360-365 - 2004
- [c2]Ming Li, Yan Wu, Shunjun Wu:
A new pixel-level multi-focus image fusion algorithm based on evolutionary strategy. ICARCV 2004: 810-814 - [c1]Yan Wu, Ming Li, Guisheng Liao:
Image fusion by means of A trous discrete wavelet decomposition. ICARCV 2004: 1538-1542
Coauthor Index
[j107] [j106] [j105] [j104] [j103] [j101] [j100] [j99] [j98] [j97] [j96] [j94] [j93] [j92] [j90] [j89] [j88] [j84] [j80] [j79] [j78] [j76] [j75] [j72] [j71] [j70] [i2] [j65] [j63] [j62] [c6] [j61] [j59] [j58] [j55] [i1] [j52] [j51] [j50] [j49] [j48] [j47] [j46] [j45] [j44] [j43] [j42] [j41] [j40] [j39] [j37] [j36] [j35] [j34] [j33] [j32] [j31] [j29] [j28] [j27] [j26] [j25] [j24] [j23] [j22] [j21] [j20] [j19] [j18] [j17] [j16] [j15] [j14] [j13] [j12] [j11] [j10] [j9] [j8] [j7] [j6] [j5] [j4] [j3] [j2] [c4] [j1] [c3] [c2] [c1]
[j106] [j105] [j104] [j100] [j98] [j95] [j94] [j88] [j82] [j81] [j78] [c9] [j77] [j75] [j73] [j72] [j71] [j70] [j68] [i2] [j65] [j63] [c6] [j61] [j59] [j58] [j55] [i1] [j52] [j51] [j49] [j48] [j46] [j45] [j41] [j40] [j39] [j37] [j36] [j35] [j34] [j33] [j32] [j31] [j28] [j27] [j26] [j25] [j24] [j22] [j19] [j17] [j16] [j15] [j13] [j12] [j11] [j10] [j8] [j7] [j6] [j5] [j3]
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