2020 IEEE International Geoscience and Remote Sensing Symposium

September 26 - October 2, 2020 • Virtual Symposium

2020 IEEE International Geoscience and Remote Sensing Symposium

September 26 - October 2, 2020 • Virtual Symposium

My IGARSS 2020 Schedule

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Session Detail

Session Title TU2.R18: Detection and Segmentation using Very High Resolution Imaging
Presentation Mode Virtual
Session Time Tue, 29 Sep, 14:30 - 16:30 UTC
Tue, 29 Sep, 22:30 - 00:30 China Standard Time (UTC +8)
Tue, 29 Sep, 16:30 - 18:30 Central Europe Time (UTC +2)
Tue, 29 Sep, 07:30 - 09:30 Pacific Daylight Time (UTC -7)
Session ChairsStefania Matteoli, CNR and Silvia Liberata Ullo, University of Sannio
TU2.R18.1: EVENT AND ACTIVITY RECOGNITION IN AERIAL VIDEOS USING DEEP NEURAL NETWORKS AND A NEW DATASET
         Lichao Mou; German Aerospace Center (DLR); Technical University of Munich (TUM)
         Yuansheng Hua; German Aerospace Center (DLR); Technical University of Munich (TUM)
         Pu Jin; Technical University of Munich (TUM)
         Xiao Xiang Zhu; German Aerospace Center (DLR); Technical University of Munich (TUM)
TU2.R18.2: REMOTE SENSING TARGET TRACKING FOR UAV AERIAL VIDEOS BASED ON MULTI-FREQUENCY FEATURE ENHANCEMENT
         Fukun Bi; North China University of Technology
         Jiayi Sun; North China University of Technology
         Mingyang Lei; North China University of Technology
         Yanping Wang; North China University of Technology
         Xiaodi Sun; North China University of Technology
TU2.R18.3: AN END-TO-END SCALABLE OBJECT DETECTION NETWORK FOR REMOTE SENSING IMAGES
         Yani Duan; Beijing Jiaotong University
         Zhu Teng; Beijing Jiaotong University
         Baopeng Zhang; Beijing Jiaotong University
         Jianping Fan; Lenovo Research
TU2.R18.4: ARBITRARY-ORIENTED SHIP DETECTION METHOD BASED ON IMPROVED REGRESSION MODEL FOR TARGET DIRECTION DETECTION NETWORK
         Bohao Ran; Beijing University of Posts and Telecommunications
         Yanan You; Beijing University of Posts and Telecommunications
         Zezhong Li; Beijing University of Posts and Telecommunications
         Fang Liu; Beijing University of Posts and Telecommunications
TU2.R18.5: SHIP DETECTION FOR KOMPSAT-3A OPTICAL IMAGES USING BINARY FEATURES AND ADABOOST CLASSIFICATION
         Jae Young Chang; Korea Aerospace Research Institute
         Han Oh; Korea Aerospace Research Institute
         Seung-Jae Lee; Korea Aerospace Research Institute
         Kwang Jae Lee; Korea Aerospace Research Institute
TU2.R18.6: INSHORE SHIP DETECTION BASED ON MULTI-INFORMATION FUSION NETWORK AND INSTANCE SEGMENTATION
         Tian Tian; China University of Geosciences
         Peng Gao; Huazhong University of Science and Technology
         Zhihong Pan; Huazhong University of Science and Technology
         Hang Li; Beijing Aerospace System Engineering Research Institute
         Lizhe Wang; China University of Geosciences
TU2.R18.7: LEVEE-CRACK DETECTION FROM SATELLITE OR DRONE IMAGERY USING MACHINE LEARNING APPROACHES
         Aditi Kuchi; University of New Orleans
         Md Tamjidul Hoque; University of New Orleans
         Mahdi Abdelguerfi; University of New Orleans
         Maik Flanagin; US Army Corps of Engineers
TU2.R18.8: INSTANCE-AWARE REMOTE SENSING IMAGE CAPTIONING WITH CROSS-HIERARCHY ATTENTION
         Chengze Wang; School of Computer Science and Center for OPTical IMagery Analysis and Learning (OPTIMAL), Northwestern Polytechnical University
         Zhiyu Jiang; School of Computer Science and Center for OPTical IMagery Analysis and Learning (OPTIMAL), Northwestern Polytechnical University
         Yuan Yuan; School of Computer Science and Center for OPTical IMagery Analysis and Learning (OPTIMAL), Northwestern Polytechnical University
TU2.R18.9: A FINE-GRAINED SHIP DETECTION FRAMEWORK BASED ON FIXED ROI MASKING AND FEATURE OPTIMIZATION IN OPTICAL REMOTE SENSING IMAGES
         Xiaohan Zhang; Naval Aviation University
         Libo Yao; Naval Aviation University
         Yafei Lv; Naval Aviation University
         Mengyang Li; Naval Aviation University
         Xun Lin; Naval Aviation University
TU2.R18.10: INSTANCE SEGMENTATION WITH ORIENTED PROPOSALS FOR AERIAL IMAGES
         Ting Pan; Wuhan University
         Jian Ding; Wuhan University
         Jinwang Wang; Wuhan University
         Wen Yang; Wuhan University
         Gui-Song Xia; Wuhan University
TU2.R18.11: SEMI-AUTOMATIC CLASSIFICATION OF BUILDING FROM LOW-DENSITY LIDAR DATA AND WORLDVIEW-2 IMAGES THROUGH OBIA TECHNIQUE
         Chiara Zarro; University of Sannio
         Silvia Liberata Ullo; University of Sannio
         Giuseppe Meoli; Mapsat
         Mariano Focareta; Mapsat