International Geoscience and Remote Sensing Symposium

In 2021 a joint initiative of Belgium and The Netherlands

TU2.MM-7.6

Sparse SAR Image Based Automatic Target Recognition By YOLO Network

Jiarui Deng, Hui Bi, Yanjie Yin, Xingmeng Lu, Nanjing University of Aeronautics and Astronautics, China; Wei Liang, Chinese Academy of Sciences, China

Session:
SAR Target Recognition

Track:
Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR)

Presentation Time:
Tue, 13 Jul, 11:25-11:30 (UTC)
Tue, 13 Jul, 13:25-13:30 Central Europe Summer Time (UTC +2)
Tue, 13 Jul, 19:25-19:30 China Standard Time (UTC +8)
Tue, 13 Jul, 07:25-07:30 Eastern Daylight Time (UTC -4)

Session Co-Chairs:
Roshanak Darvish, Twente University and Xavier Neyt, Royal Military Academy , Belgium
Session Manager:
Xingyan Cao
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Session TU2.MM-7
TU2.MM-7.1: SAR Target Recognition And Angle Estimation By Using Rotation-Mapping Network
Yuanyuan Zhou, Wei Wang, Chen Wang, Xiaqing Yang, Jun Shi, Shunjun Wei, University of Electronic Science and Technology of China, China
TU2.MM-7.2: A NOVEL DATA AUGMENTATION METHOD FOR SAR IMAGE TARGET DETECTION AND RECOGNITION
Xiaolong Zhang, Xinghua Chai, Yanqiao Chen, The 54th Research Institute of China Electronics Technology Group Corporation, China; Zichen Yang, Guangyuan Liu, Aiyuan He, Yangyang Li, Xidian University, China
TU2.MM-7.3: Multi-view SAR Automatic Target Recognition Based on Deformable Convolutional Network
Zhiyong Wang, Chenwei Wang, Jifang Pei, Yulin Huang, Yin Zhang, Haiguang Yang, University of Electronic Science and Technology of China, China; Zhiwei Xing, Civil Aviation University of China, China
TU2.MM-7.4: OPTRONIC CONVOLUTIONAL NEURAL NETWORK FOR SAR TARGET RECOGNITION
Ziyu Gu, Zhicheng Wang, Yesheng Gao, Xingzhao Liu, Shanghai Jiao Tong University, China; Yu Cui, shanghai Academy of Spaceflite Technology, China
TU2.MM-7.5: AN IQE CRITERION-BASED METHOD FOR SAR IMAGES CLASSIFICATION NETWORK PRUNING
Jielei Wang, Zongyong Cui, Zongjie Cao, Hanzeng Wang, Changjie Cao, University of Electronic Science and Technology of China, China
TU2.MM-7.6: Sparse SAR Image Based Automatic Target Recognition By YOLO Network
Jiarui Deng, Hui Bi, Yanjie Yin, Xingmeng Lu, Nanjing University of Aeronautics and Astronautics, China; Wei Liang, Chinese Academy of Sciences, China
TU2.MM-7.7: HIERARCHICAL NONLINEAR DICTIONARY LEARNING WITH CONVOLUTIONAL NEURAL NETWORKS: APPLICATION TO SAR TARGET RECOGNITION
Lei Tao, Xue Jiang, Xingzhao Liu, Shanghai Jiao Tong University, China
TU2.MM-7.8: SAR AUTOMATIC TARGET RECOGNITION BASED ON MULTI-SCALE CONVOLUTIONAL FACTOR ANALYSIS MODEL WITH MAX-MARGIN CONSTRAINT
Yuchen Guo, Lan Du, Chen Li, Jian Chen, Xidian University, China
TU2.MM-7.9: HOW SAR IMAGE DENOISE AFFECTS THE PERFORMANCE OF DCNN-BASED TARGET RECOGNITION METHOD
Jiaxin Tang, Fan Zhang, Fei Ma, Beijing University of Chemical Technology, China; Fei Gao, Beihang University, China; Qiang Yin, Yongsheng Zhou, Beijing University of Chemical Technology, China