My IGARSS 2019 Schedule

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Session Detail

Session Title MOP2.PE: Advanced Methods for Static and Moving Objects
Presentation Mode Poster
Session Time Monday, 29 July, 15:20 - 16:20
Location Room 501-502: Poster Area E
Session ChairsChao Wang, Chinese Academy of Sciences and Chunlei Huo, Institute of Automation, Chinese Academy of Sciences

  MOP2.PE.1: MOVING TARGET DETECTION AND MOTION PARAMETER ESTIMATION VIA DUAL-BEAM INTERFEROMETRIC SAR
         Jinyu Bao; University of Electronic Science and Technology of China
         Xiaoling Zhang; University of Electronic Science and Technology of China
         Xinxin Tang; University of Electronic Science and Technology of China
         Shunjun Wei; University of Electronic Science and Technology of China
         Jun Shi; University of Electronic Science and Technology of China

  MOP2.PE.2: HIGH-SPEED AIRCRAFT SINGLE CHANNEL SAR-GMTI BASED ON NEURAL NETWORK
         Liang Li; University of Electronic Science and Technology of China
         Xiaoling Zhang; University of Electronic Science and Technology of China
         Chen Wang; University of Electronic Science and Technology of China
         Liming Pu; University of Electronic Science and Technology of China
         Jun Shi; University of Electronic Science and Technology of China
         Shunjun Wei; University of Electronic Science and Technology of China

  MOP2.PE.3: IMPACT ANALYSIS OF INCIDENT ANGLE FACTOR ON HIGH-RESOLUTION SAR IMAGE SHIP CLASSIFICATION BASED ON DEEP LEARNING
         Yingbo Dong; Chinese Academy of Sciences
         Chao Wang; Chinese Academy of Sciences
         Hong Zhang; Chinese Academy of Sciences
         Yuanyuan Wang; Chinese Academy of Sciences
         Bo Zhang; Chinese Academy of Sciences

  MOP2.PE.4: AIRPORT AIRCRAFT DETECTION BASED ON LOCAL CONTEXT DPM IN REMOTE SENSING IMAGES
         Fukun Bi; North China University of Technology
         Zhihua Yang; North China University of Technology
         Mingyang Lei; North China University of Technology
         Mingming Bian; Beijing Institute of Spacecraft System Engineering

  MOP2.PE.5: JOINT DETECTION OF AIRPLANE TARGETS BASED ON SAR IMAGES AND OPTICAL IMAGES
         Jitao Qin; Liaoning Technical University
         Haicheng Qu; Liaoning Technical University
         Hao Chen; Harbin Institute of Technology
         Wen Chen; Harbin Institute of Technology

  MOP2.PE.6: AN AIRCRAFT DETECTION METHOD BASED ON IMPROVED MASK R-CNN IN REMOTELY SENSED IMAGERY
         Pengfei Zhao; Harbin Institute of Technology
         Huayu Gao; Beijing Institute of Aerospace Systems Engineering
         Yun Zhang; Harbin Institute of Technology
         Hongbo Li; Harbin Institute of Technology
         Rui Yang; Harbin Institute of Technology

  MOP2.PE.7: DETECTING AND POSITIONING OF WIND TURBINE BLADE TIPS FOR UAV-BASED AUTOMATIC INSPECTION
         Haowen Guo; Wuhan University
         Qiangqiang Cui; Wuhan University
         Jinwang Wang; Wuhan University
         Fang Xu; Wuhan University
         Wen Yang; Wuhan University
         Zhengrong Li; Beijing New3S Technology Co. LTD

  MOP2.PE.8: ROTATION AWARENESS BASED SELF-SUPERVISED LEARNING FOR SAR TARGET RECOGNITION
         Shuai Zhang; Northwestern Polytechnical University
         Zaidao Wen; Northwestern Polytechnical University
         Zhunga Liu; Northwestern Polytechnical University
         Quan Pan; Northwestern Polytechnical University

  MOP2.PE.9: ROTATION-INVARIANT LATENT SEMANTIC REPRESENTATION LEARNING FOR OBJECT DETECTION IN VHR OPTICAL REMOTE SENSING IMAGES
         Xiwen Yao; Northwestern Polytechnical University
         Xiaoxu Feng; Northwestern Polytechnical University
         Gong Cheng; Northwestern Polytechnical University
         Junwei Han; Northwestern Polytechnical University
         Lei Guo; Northwestern Polytechnical University

  MOP2.PE.10: ROTATION AND SCALE-INVARIANT OBJECT DETECTOR FOR HIGH RESOLUTION OPTICAL REMOTE SENSING IMAGES
         He Huang; University of Chinese Academy of Sciences
         Chunlei Huo; Institute of Automation, Chinese Academy of Sciences
         Feilong Wei; Beijing Union University
         Chunhong Pan; Institute of Automation, Chinese Academy of Sciences

  MOP2.PE.11: MOTION STATES CLASSIFICATION OF ROTOR TARGET BASED ON MICRO-DOPPLER FEATURES USING CNN
         Wantian Wang; Air Force Early Warning Academy
         Ziyue Tang; Air Force Early Warning Academy
         Xin Xiong; Air Force Early Warning Academy
         Yichang Chen; Air Force Early Warning Academy
         Yuanpeng Zhang; Air Force Early Warning Academy
         Yongjian Sun; Air Force Early Warning Academy
         Zhenbo Zhu; Air Force Early Warning Academy
         Chang Zhou; Air Force Early Warning Academy