FR2.R2.1: HYPERSPECTRAL IMAGE CLASSIFICATION METHOD BASED ON NODE SIMILARITY FEATURE FUSION
Jiameng Wang, Qingyan Wang, Harbin University of Science and Technology, China; Junping Zhang, Harbin Institute of Technology, China; Yujing Wang, Harbin University of Science and Technology, China
FR2.R2.2: BLOCK PRUNING AND COLLABORATIVE DISTILLATION FOR IMAGE CLASSIFICATION OF REMOTE SENSING
Xiaokai Wang, Xidian University, China; Rongfang Wang, The Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xian, 710071, China., China; Changzhe Jiao, Yi Niu, Caihong Mu, Xidian University, China
FR2.R2.3: ANALYTICAL CLASSIFICATION PERFORMANCE ANALYSIS OF MACHINE-LEARNING-BASED SHIP DETECTION FROM OPTICAL SATELLITE IMAGERY
Domenico Barretta, University of Campania Luigi Vanvitelli, Italy; Leonardo Maria Millefiori, Paolo Braca, NATO STO - Centre for Maritime Research and Experimentation (CMRE), Italy
FR2.R2.4: DUAL-BRANCH POLSAR IMAGE CLASSIFICATION BASED ON GRAPHMAE AND LOCAL FEATURE EXTRACTION
Yuchen Wang, Ziyi Guo, Haixia Bi, Xi'an Jiaotong University, China; Danfeng Hong, Chinese Academy of Sciences, China; Chen Xu, Peng Cheng Laboratory, China
FR2.R2.5: IMPROVING DEEP CLUSTERING FOR MARTIAN TERRAIN CLASSIFICATION BY ENFORCING SPATIAL AND DEPTH CONSTRAINTS, AND ADDRESSING DATA IMBALANCE
Tejas Panambur, Mario Parente, University of Massachusetts, Amherst, United States
FR2.R2.6: GAZADeepDAV: A High Resolution Geotagged Satellite Imagery Dataset for Analyzing War-Induced Damage
Marwen Bouabid, Univ. Manouba, ENSI, RIADI LR99ES26, University Campus Manouba, 2010, Tunisia, Tunisia; Mohamed Farah, Univ. Manouba, ISAMM, University Campus Manouba, 2010, Tunisia, Tunisia
