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MOP2.PF.1: LOW-RANK AND COLLABORATIVE REPRESENTATION FOR HYPERSPECTRAL ANOMALY DETECTION
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Zhaoyue Wu; Hohai University |
Hongjun Su; Hohai University |
Qian Du; Mississippi State University |
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MOP2.PF.2: INFRARED SMALL TARGET DETECTION BASED ON MORPHOLOGICAL FEATURE EXTRACTION
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Mingjing Zhao; Beijing University of Chemical Technology |
Lu Li; Beijing University of Chemical Technology |
Wei Li; Beijing Institute of Technology |
Liwei Li; Chinese Academy of Sciences |
Wenjuan Zhang; Chinese Academy of Sciences |
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MOP2.PF.3: A NEW INDEX FOR SANDY LAND DETECTION BASED ON THERMAL INFRARED EMISSIVITY DATA
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Shanshan Chen; Peking University |
Huazhong Ren; Peking University |
Yunzhu Tao; Peking University |
Yitong Zheng; Peking University |
Yuanheng Sun; Peking University |
Jing Nie; Peking University |
Jinxin Guo; Peking University |
Rongyuan Liu; Peking University |
Wenjie Fan; Peking University |
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MOP2.PF.4: INVESTIGATING THE EIGENVECTOR PARAMETRIC SPACE FOR LUNAR REGOLITH CLASSIFICATION USING BISTATIC MINIATURE RADAR DATA
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Shashwat Shukla; University of Twente |
Shashi Kumar; Indian Institute of Remote Sensing |
Valentyn Tolpekin; University of Twente |
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MOP2.PF.5: SEISMIC SIGNAL CLASSIFICATION USING PERCEPTRON WITH DIFFERENT LEARNING RULES
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Kou-Yuan Huang; National Chiao Tung University |
Fajar Abdurrahman; National Chiao Tung University |
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MOP2.PF.6: A TRAINING-FREE, ONE-SHOT DETECTION FRAMEWORK FOR GEOSPATIAL OBJECTS IN REMOTE SENSING IMAGES
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Tengfei Zhang; Institute of Electronics, Chinese Academy of Sciences |
Xian Sun; Institute of Electronics, Chinese Academy of Sciences |
Yue Zhang; Institute of Electronics, Chinese Academy of Sciences |
Menglong Yan; Institute of Electronics, Chinese Academy of Sciences |
Yaoling Wang; Institute of Electronics, Chinese Academy of Sciences |
Zhirui Wang; Institute of Electronics, Chinese Academy of Sciences |
Kun Fu; Institute of Electronics, Chinese Academy of Sciences |
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MOP2.PF.7: A REVISED RTM-BASED ALGORITHM TO REMOVE THIN CLOUDS WITHIN VISIBLE BAND DATA OF SENTINEL-2A
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Yue Gao; University of Electronic Science and Technology of China |
Yong Wang; University of Electronic Science and Technology of China |
Haitao Lv; University of Electronic Science and Technology of China |
Jiang Qian; University of Electronic Science and Technology of China |
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MOP2.PF.8: LARGE-SCALE OIL PALM TREE DETECTION FROM HIGH-RESOLUTION REMOTE SENSING IMAGES USING FASTER-RCNN
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Juepeng Zheng; Tongji University |
Weijia Li; Tsinghua University |
Maocai Xia; Tsinghua University |
Runmin Dong; Tsinghua University |
Haohuan Fu; Tsinghua University |
Shuai Yuan; Tsinghua University |
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MOP2.PF.9: THIN AND THICK CLOUD REMOVAL ON REMOTE SENSING IMAGE BY CONDITIONAL GENERATIVE ADVERSARIAL NETWORK
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Xiaoke Wang; Institute of Electronics, Chinese Academy of Sciences |
Guangluan Xu; Institute of Electronics, Chinese Academy of Sciences |
Yang Wang; Institute of Electronics, Chinese Academy of Sciences |
Daoyu Lin; Institute of Electronics, Chinese Academy of Sciences |
Peiguang Li; Institute of Electronics, Chinese Academy of Sciences |
Xiujing Lin; National Nuclear Emergency Response and Technical Assistance Center |
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MOP2.PF.10: A REVISED ICA ALGORITHM TO REMOVE CIRRUS CLOUD EFFECTS IN SPECTRAL DATA OF LANDSAT-8 BANDS 1–7
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Haitao Lv; University of Electronic Science and Technology of China |
Yong Wang; East Carolina University |
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MOP2.PF.11: A THIN-CLOUD REMOVAL APPROACH COMBINING THE CIRRUS BAND AND RTM-BASED ALGORITHM FOR LANDSAT-8 OLI DATA
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Binxing Zhou; University of Electronic Science and Technology of China |
Yong Wang; University of Electronic Science and Technology of China |
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MOP2.PF.12: CLOUD DETECTION BASED ON DEEP LEARNING COMBINING MUTI-FEATURE FOR REMOTE SENSING IMAGES
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Nan Ma; School of Physics and Electronics, Shandong Normal University |
Sichao Liu; Geomatics College, Shandong University of Science and Technology |
Qinghua Su; Geomatics College, Shandong University of Science and Technology |
Zhenjun Yu; Geomatics College, Shandong University of Science and Technology |
Xirong Liu; Geomatics College, Shandong University of Science and Technology |