Technical Program

Session Detail

Session Title WEP2.PE: Analysis of SAR/POLSAR Data
Presentation Mode Poster
Session Time Wednesday, 31 July, 15:20 - 16:20
Location Room 501-502: Poster Area E
Session ChairFlorence Tupin, Télécom ParisTech

WEP2.PE.1: LOCAL COMPETITIVE WISHART CLASSIFIER FOR POLARIMETRIC SAR IMAGES
         Xiyun Liu; University of Science and Technology Beijing
         Junjun Yin; University of Science and Technology Beijing
         Tao Wang; University of Science and Technology Beijing

WEP2.PE.2: PLASTIC-MULCHED FARMLAND CLASSIFICATION COMPARISONS BETWEEN X AND C-BAND POLARIMETRIC SAR DATA
         Chang-An Liu; Key Laboratory of Agricultural Remote Sensing, Ministry of Agriculture/Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences
         Zhongxin Chen; Key Laboratory of Agricultural Remote Sensing, Ministry of Agriculture/Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences
         Shangrong Wu; Key Laboratory of Agricultural Remote Sensing, Ministry of Agriculture/Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences

WEP2.PE.3: CLASSIFICATION OF HUNSHANDAKE SANDY LAND BASED ON POLARIMETRIC SAR DATA
         Weixian Tan; Inner Mongolia University of Technology
         Tingting He; Inner Mongolia University of Technology
         Pingping Huang; Inner Mongolia University of Technology
         Wei Xu; Inner Mongolia University of Technology

WEP2.PE.4: UNSUPERVISED CATEGORIZATION OF FOREST-COVER USING MULTI-SPECTRAL AND HYBRID POLARIMETRIC SAR IMAGES
         Shashaank M Aswatha; Indian Institute of Technology Kharagpur
         Rajeswari Mahapatra; Indian Institute of Technology Kharagpur
         Jayanta Mukhopadhyay; Indian Institute of Technology Kharagpur
         Prabir K. Biswas; Indian Institute of Technology Kharagpur
         Subhas Aikat; Indian Institute of Technology Kharagpur
         Arundhati Misra; Indian Space Research Organization

WEP2.PE.5: REGION-BASED CLASSIFICATION OF GF-3 POLSAR IMAGERY USING DEEP REINFORCEMENT LEARNING METHOD
         Wen Nie; Wuhan University
         Jie Yang; Wuhan University
         Pingxiang Li; Wuhan University
         Lingli Zhao; Wuhan University
         Jinqi Zhao; Wuhan University
         Kui Huang; Wuhan University
         Xiaomeng Geng; Wuhan University

WEP2.PE.6: UNSUPERVISED CLASSIFICATION OF HIGH-RESOLUTION SAR IMAGES USING MULTILAYER LEVEL SET METHOD
         Chuan Xu; Wuhan University
         Haigang Sui; Wuhan University
         Junyi Liu; Wuhan University
         Kaimin Sun; Wuhan University
         Li Hua; Huazhong Agricultural University

WEP2.PE.7: SAR IMAGE CLASSIFICATION VIA CNN WITH STATISTICAL POOLING
         Chudi Hu; LIESMARS, Wuhan University
         Xin Su; Wuhan University
         Bin Luo; LIESMARS, Wuhan University

WEP2.PE.8: JOINT CONVOLUTIONAL NEURAL NETWORK FOR SMALL-SCALE SHIP CLASSIFICATION IN SAR IMAGES
         Yanxia Wu; Harbin Engineering University
         Ye Yuan; Harbin Engineering University
         Jian Guan; Harbin Engineering University
         Libo Yin; China Industrial Control Systems Cyber Emergency Response Team
         Jinyong Chen; The 54th Research Institute of China Electronics Technology Group Corporation
         Ge Zhang; China Industrial Control Systems Cyber Emergency Response Team
         Pengming Feng; State Key Laboratory of Space-Ground Integrated Information Technology

WEP2.PE.9: INFORMATION ACQUISITION ABILITY OF LFMW FOR SAR
         Jiawei Zhang; Beihang University
         Huaping Xu; Beihang University
         Zhaohong Li; Beihang University
         Jingwen Li; Beihang University

WEP2.PE.10: A STUDY ON THE FREQUENCY AND AZIMUTH COHERENCE OF HIGH-RESOLUTION SAR IMAGE
         Wenji Xing; Key Laboratory of Technology in Geo-spatial Information Processing and Application System, Institute of Electronics, Chinese Academy of Sciences
         Xiaolan Qiu; Key Laboratory of Technology in Geo-spatial Information Processing and Application System, Institute of Electronics, Chinese Academy of Sciences
         Chibiao Ding; Key Laboratory of Technology in Geo-spatial Information Processing and Application System, Institute of Electronics, Chinese Academy of Sciences

WEP2.PE.11: DEEP LEARNING SOLUTIONS FOR TANDEM-X-BASED FOREST CLASSIFICATION
         Antonio Mazza; University Federico II of Naples
         Francescopaolo Sica; German Aerospace Center (DLR)

WEP2.PE.12: FOREST CLASSIFICATION AND DEFORESTATION MAPPING BY MEANS OF SENTINEL-1 INSAR STACKS
         Francescopaolo Sica; German Aerospace Center (DLR)
         Andrea Pulella; German Aerospace Center (DLR)
         Paola Rizzoli; German Aerospace Center (DLR)