FRP.P6.6

Recognition of Three-Dimensional Rotating Ship Target for SAR Images Based on Complex-Valued Convolutional Neural Network

Qinglong Hua, Yun Zhang, Yicheng Jiang, Dan Xu, Harbin Institute of Technology, China
Session:
FRP.P6: Target Recognition and Classification with Radar Data Poster
Track:
Data Analysis
Location:
Poster Area 6
Presentation Time:
Fri, 21 Jul, 14:15 - 15:45 Pacific Time (UTC -8)
Session Chair:
Raffaella Guida, University of Surrey
Session Managers:
Srashti Singh and NIMA ESMAEILZADEH and Suhaimee Buya and sunni kanta prasad kushwaha
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Session FRP.P6
FRP.P6.1: SAR TARGET RECOGNITION VIA FEATURES EXTRACTED FROM MONOGENIC SIGNAL
Yunqing Fan, Junjun Yin, University of Science and Technology Beijing, China; Jian Yang, Tsinghua University, China
FRP.P6.2: DEVELOPMENT OF GENERALIZED MACHINE LEARNING MODEL TO CLASSIFY POLSAR DATA
Varsha Turkar, Vidyalankar Institute of Technology, India; Akhil Masurkar, Veermata Jijabai Technological Institute, India; Anup Das, Space Application Centre, ISRO, India; Rohin Daruwala, Veermata Jijabai Technological Institute, India
FRP.P6.3: RESEARCH ON NOVEL CLASS DISCOVERY OF SAR TARGET
Qian Wei, Zong yong Cui, Yi jie Deng, Bin Li, Zong jie Cao, University of Electronic Science and Technology of China, China
FRP.P6.4: REPROGRAMMING METHOD FOR SPACE TARGET RECOGNITION
Xuan Wang, Bo Long, Feng Wang, Fudan University, China
FRP.P6.5: IMPACT OF USING CIRCULAR POLARIZATION CORRELATION COEFFICIENT (CCC) ALONG WITH TARGET DECOMPOSITION TO CLASSIFY ORIENTED SETTLELMENT
Varsha Turkar, Vidyalankar Institute of Technology, India; Y.S. Rao, Indian Institute of Technology Bombay, India; Anup Das, Space Application Centre, ISRO, India
FRP.P6.6: Recognition of Three-Dimensional Rotating Ship Target for SAR Images Based on Complex-Valued Convolutional Neural Network
Qinglong Hua, Yun Zhang, Yicheng Jiang, Dan Xu, Harbin Institute of Technology, China
FRP.P6.7: SHIP CLASSIFICATION USING LAYOVER IN SENTINEL-1 IMAGES
Al Adil Al Hinai, Raffaella Guida, University of Surrey, United Kingdom
FRP.P6.8: USING SQUEEZE-AND-EXCITATION VISION TRANSFORMER WITH LOCAL FEATURE FUSION FOR SHIP CLASSIFICATION IN SAR IMAGES
Yuhang Qi, Lu Wang, Chunhui Zhao, Ning Wang, Jikang Chen, Harbin Engineering University, China
FRP.P6.9: Siamese Neural Network for Automatic Target Recognition using Synthetic aperture radar
Yasmine Khenchaf, Université de Bretagne-Occidentale, France; Abdelmalek Toumi, Lab-STICC – UMR CNRS 6285, France
FRP.P6.10: TRANSFER LEARNING ON SELF-SUPERVISED MODEL FOR SAR TARGET RECOGNITION WIHT LIMITED LABELED DATA
Xiaoyu Liu, Lin Liu, Chenwei Wang, Jifang Pei, Weibo Huo, Yin Zhang, Yulin Huang, University of Electronic Science and Technology of China, China
FRP.P6.11: Interpretable Disentangled Adversarial Auto-Encoder for SAR-ATR with Sparse Training Samples
Qian Guo, Feng Xu, Fudan University, China
FRP.P6.12: ADAPTIVE COST ADJUSTMENT FOR SAR IMBALANCED CLASSIFICATION VIA REINFORCEMENT LEARNING
Jingqi Wei, Zongyong Cui, Zheng Zhou, Zongjie Cao, Yiming Pi, University of Electronic Science and Technology of China, China
Resources
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