Technical Program

Session Detail

Session Title MOP2.PF: Advanced Methods for Object Detection I
Presentation Mode Poster
Session Time Monday, 29 July, 15:20 - 16:20
Location Room 501-502: Poster Area F
Session ChairMarco Chini, LIST-Luxemburg

MOP2.PF.1: LOW-RANK AND COLLABORATIVE REPRESENTATION FOR HYPERSPECTRAL ANOMALY DETECTION
         Zhaoyue Wu; Hohai University
         Hongjun Su; Hohai University
         Qian Du; Mississippi State University

MOP2.PF.2: INFRARED SMALL TARGET DETECTION BASED ON MORPHOLOGICAL FEATURE EXTRACTION
         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

MOP2.PF.3: A NEW INDEX FOR SANDY LAND DETECTION BASED ON THERMAL INFRARED EMISSIVITY DATA
         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

MOP2.PF.4: INVESTIGATING THE EIGENVECTOR PARAMETRIC SPACE FOR LUNAR REGOLITH CLASSIFICATION USING BISTATIC MINIATURE RADAR DATA
         Shashwat Shukla; University of Twente
         Shashi Kumar; Indian Institute of Remote Sensing
         Valentyn Tolpekin; University of Twente

MOP2.PF.5: SEISMIC SIGNAL CLASSIFICATION USING PERCEPTRON WITH DIFFERENT LEARNING RULES
         Kou-Yuan Huang; National Chiao Tung University
         Fajar Abdurrahman; National Chiao Tung University

MOP2.PF.6: A TRAINING-FREE, ONE-SHOT DETECTION FRAMEWORK FOR GEOSPATIAL OBJECTS IN REMOTE SENSING IMAGES
         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

MOP2.PF.7: A REVISED RTM-BASED ALGORITHM TO REMOVE THIN CLOUDS WITHIN VISIBLE BAND DATA OF SENTINEL-2A
         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

MOP2.PF.8: LARGE-SCALE OIL PALM TREE DETECTION FROM HIGH-RESOLUTION REMOTE SENSING IMAGES USING FASTER-RCNN
         Juepeng Zheng; Tongji University
         Weijia Li; Tsinghua University
         Maocai Xia; Tsinghua University
         Runmin Dong; Tsinghua University
         Haohuan Fu; Tsinghua University
         Shuai Yuan; Tsinghua University

MOP2.PF.9: THIN AND THICK CLOUD REMOVAL ON REMOTE SENSING IMAGE BY CONDITIONAL GENERATIVE ADVERSARIAL NETWORK
         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

MOP2.PF.10: A REVISED ICA ALGORITHM TO REMOVE CIRRUS CLOUD EFFECTS IN SPECTRAL DATA OF LANDSAT-8 BANDS 1–7
         Haitao Lv; University of Electronic Science and Technology of China
         Yong Wang; East Carolina University

MOP2.PF.11: A THIN-CLOUD REMOVAL APPROACH COMBINING THE CIRRUS BAND AND RTM-BASED ALGORITHM FOR LANDSAT-8 OLI DATA
         Binxing Zhou; University of Electronic Science and Technology of China
         Yong Wang; University of Electronic Science and Technology of China

MOP2.PF.12: CLOUD DETECTION BASED ON DEEP LEARNING COMBINING MUTI-FEATURE FOR REMOTE SENSING IMAGES
         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