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My IGARSS 2018 Schedule

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WEP1.PB: General SAR Applications

Session Type: Poster
Time: Wednesday, July 25, 10:10 - 11:10
Location: Poster Area B
Session Chairs: Roberto Fernandez Moran, Universitat de València and Ana Ruescas, Univ. Valencia
 
  WEP1.PB.1: RETRIEVAL OF RICE PHENOLOGY BASED ON TIME-SERIES POLARIMETRIC SAR DATA
         Hongyu Li; China University of Geosciences Beijing
         Kun Li; Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences
         Yun Shao; Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences
         Ping Zhou; China University of Geosciences Beijing
         Xianyu Guo; Shandong University of Science and Technology
         Changan Liu; Chinese Academy of Agricultural Sciences
         Long Liu; Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences
 
  WEP1.PB.2: INVESTIGATION ON THE CORRELATION BETWEEN THE SUBSIDENCE PATTERN AND LAND USE IN BANDUNG, INDONESIA WITH BOTH SENTINEL-1/2 AND ALOS-2 SATELLITE IMAGES
         Zheyuan Du; The University of New South Wales
         Linlin Ge; The University of New South Wales
         Alex Hay-Man Ng; Guangdong University of Technology
 
  WEP1.PB.3: EVALUATION OF THE POTENTIALITY OF POLARIMETRIC C- AND L-SAR TIME-SERIES IMAGES FOR THE IDENTIFICATION OF WINTER LAND-USE.
         Julien Denize; IETR UMR CNRS 6164 and University of Rennes
         Laurence Hubert-Moy; LETG UMR CNRS 6554 and University of Rennes
         Samuel Corgne; LETG UMR CNRS 6554 and University of Rennes
         Julie Betbeder; CIRAD
         Eric Pottier; IETR - UMR 6164, University of Rennes 1
 
  WEP1.PB.4: SPARSE SAR IMAGE FORMATION OF MOVING TARGETS-A REWEIGHTED SPARSE APPROACH
         Gang Xu; Southeast University
         Xianpeng Wang; State Key Laboratory of Marine Resource Utilization in South China Sea, College of Information Science & Technology, Hainan University
         Yanyang Liu; Shanghai Institute of Satellite Engineering
         Di Zhao; Shanghai Institute of Satellite Engineering
 
  WEP1.PB.5: SPATIAL FUZZY CLUSTERING AND DEEP AUTO-ENCODER FOR UNSUPERVISED CHANGE DETECTION IN SYNTHETIC APERTURE RADAR IMAGES
         Yangyang Li; Xidian University
         Linhao Zhou; Xidian University
         Cheng Peng; Xidian University
         Licheng Jiao; Xidian University
 
  WEP1.PB.6: SALIENCY DETECTION FOR L1/2 REGULARIZATION-BASED SAR IMAGE FEATURE ENHANCEMENT VIA BAYESIAN INFERENCE
         Hua Guan; Air Force Engineering University
         Jiacheng Ni; Air Force Engineering University
         Qun Zhang; Air Force Engineering University
         Li Sun; Air Force Engineering University
         Kai Wang; Air Force Engineering University
 
  WEP1.PB.7: ANALYZING CONSPICUOUS FEATURES OF A CURVED AND GRADED BAY BRIDGE ON SAR IMAGERY
         Yong Wang; University of Electronic Science and Technology of China
         Xiaojian Gan; University of Electronic Science and Technology of China
         Taoli Yang; University of Electronic Science and Technology of China
 
  WEP1.PB.8: CLASSIFICATION OF POLSAR IMAGES BASED ON SVM WITH SELF-PACED LEARNING OPTIMIZATION
         Wenshuai Chen; Xidian University
         Dong Hai; Xidian University
         Shuiping Gou; Xidian University
         Licheng Jiao; Xidian University
 
  WEP1.PB.9: ATTENTION-BASED CONVOLUTIONAL NEURAL NETWORK FOR THE DETECTION OF BUILT-UP AREAS IN HIGH-RESOLUTION SAR IMAGES
         Yunfei Wu; University of Science and Technology of China
         Rong Zhang; University of Science and Technology of China
         Yibing Zhan; University of Science and Technology of China
 
  WEP1.PB.10: A NEW METHOD OF RETRIEVING THE INCLINATION DIRECTION OF POWER TRANSMISSION TOWER BY GEOCODING
         Yue Yang; University of Electronic Science and Technology of China
         Yunping Chen; University of Electronic Science and Technology of China
         Yan Chen; University of Electronic Science and Technology of China
         Fanghong Xiao; University of Electronic Science and Technology of China
         Wenzhu He; Sichuan Academy of Agricultural Sciences