WEP.P4: Remote Sensing Image Segmentation by Recently Developed Methodology
Wed, 19 Jul, 14:15 - 15:45 Pacific Time (UTC -7)
Location: Poster Area 4
Session Type: Poster
Session Chair: Elena Donini, Fondazione Bruno Kessler
Session Managers: Ge Jiang and HUMAIRA SANAM and Ayoti Banerjee and Srashti Singh
Track: Data Analysis

WEP.P4.1: UNSUPERVISED DOMAIN ADAPTION FOR REMOTE SENSING SEMANTIC SEGMENTATION WITH SELF-ATTENTION MECHANISM
Keming Liu, Fang Liu, Jia Liu, Liang Xiao, Xu Tang, Nanjing University of Science and Technology, China

WEP.P4.2: AN ENHANCED UNSUPERVISED FEATURE LEARNING FRAMEWORK FOR RADAR SOUNDER SIGNAL SEGMENTATION
Raktim Ghosh, University of Trento, Italy, and Fondazione Bruno Kessler, Trento, Italy, India; Francesca Bovolo, Fondazione Bruno Kessler, Trento, Italy, Italy

WEP.P4.3: MULTI-STAGE SEMI-SUPERVISED TRANSFORMER FOR REMOTE SENSING SEMANTIC SEGMENTATION WITH VARIOUS DATA AUGMENTATION
Yi Jiang, University of Chinese Academy of Sciences, China; Wanxuan Lu, Zhi Guo, Aerospace Information Research Institute, Chinese Academy of Sciences, China

WEP.P4.4: MMS:MULTI-SOURCE MUTUAL SUPERVISION SEMANTIC SEGMENTATION
Shibo Guo, Yuanyuan Gui, Mengmeng Zhang, Wei Li, School of Information and Electronics, Beijing Institute of Technology, Beijing, China, China

WEP.P4.5: D4SC: DEEP SUPERVISED SEMANTIC SEGMENTATION FOR SEABED CHARACTERISATION IN LOW-LABEL REGIME
Yoann Arhant, Olga Lopera Tellez, Xavier Neyt, Royal Military Academy, Belgium; Aleksandra Pizurica, Ghent University, Belgium

WEP.P4.6: SCRIBBLE-SUPERVISED TARGET EXTRACTION METHOD BASED ON INNER STRUCTURE-CONSTRAINT FOR REMOTE SENSING IMAGES
Yitong Li, Chang Liu, Jie Ma, Beijing Foreign Studies University, China

WEP.P4.7: TRANSFORMER AND CNN HYBRID NETWORK FOR SUPER-RESOLUTION SEMANTIC SEGMENTATION OF REMOTE SENSING IMAGERY
Yutong Liu, Kun Gao, Hong Wang, Junwei Wang, Xiaodian Zhang, Pengyu Wang, Beijing Institute of Technology, China; Shuzhong Li, Luoyang Electro Optic Equipment Research Institute of AVIC, China

WEP.P4.8: A COMPARISON OF DEEP LEARNING BACKBONES FOR BINARY SEGMENTATION OF TROPICAL PEATLANDS DRAINAGE CANALS USING HIGH-RESOLUTION IMAGES
Muhammad Haidar, Wataru Takeuchi, The University of Tokyo, Japan

WEP.P4.9: SCV-UNET: SALIENCY-COMBINED COMPLEX-VALUED U-NET FOR SAR SHIP TARGET SEGMENTATION
Chenxi Wei, Zhenyuan Ji, Harbin Institute of Technology, China; Maosheng Wei, Harbin Space Star Data System Technology Co., Ltd, China; Yun Zhang, Haoxuan Yuan, Harbin Institute of Technology, China

WEP.P4.10: LAND COVER SEGMENTATION WITH SPARSE ANNOTATIONS FROM SENTINEL-2 IMAGERY
Marco Galatola, LINKS Foundation, Italy; Edoardo Arnaudo, Politecnico di Torino, Italy; Luca Barco, Claudio Rossi, Fabrizio Dominici, LINKS Foundation, Italy

WEP.P4.11: COMPARISON OF IMAGE SEGMENTATION METHODS BASED ON DIGITAL HEMISPHERE PHOTOGRAPHY
Tianxin Duan, Yunping Chen, Zhentao Gao, Shuaifeng Jiao, Yuanlei Chen, University of Electronic Science and Technology of China, Chengdu, China; Yuan Sun, Aerosphere Information Research Institute, Chinese Academy of Science, Beijing, 100094, China, China