TU4.R4.1: BAYESIAN MODELLING OF MULTI-YEAR CROP TYPE CLASSIFICATION USING DEEP NEURAL NETWORKS AND HIDDEN MARKOV MODELS
Gianmarco Perantoni, Giulio Weikmann, Lorenzo Bruzzone, University of Trento, Italy
TU4.R4.2: REFERRING IMAGE SEGMENTATION FOR REMOTE SENSING DATA
Zhenghang Yuan, Lichao Mou, Technical University of Munich, Germany; Yuansheng Hua, Shenzhen University, China; Xiao Xiang Zhu, Technical University of Munich, Germany
TU4.R4.3: MULTIMODAL AND MULTITEMPORAL DATA FUSION FOR FLOOD EXTENT SEGMENTATION EXPLOITING KUROSIWO AND WORLDFLOODS SENTINEL DATASETS
Enrique Portales-Julià, Image Processing Laboratory, University of Valencia, Spain; Nikolaos Ioannis Bountus, Maria Sdraka, Orion Lab, National Observatory of Athens & National Technical University of Athens, Greece; Gonzalo Mateo-García, International Methane Emissions Observatory, United Nations Environment Programme, Spain; Ioannis Papoutsis, Orion Lab, National Observatory of Athens & National Technical University of Athens, Greece; Luis Gómez-Chova, Image Processing Laboratory, University of Valencia, Spain
TU4.R4.4: AODET: ANTI-OCCLUSION FOR ENHANCED SMALL OBJECT DETECTION IN DRONE-BASED RGBT IMAGERY
Ziming Gui, Yan Zhang, Xu Lei, Ruixiang Zhang, Wen Yang, Wuhan University, China
TU4.R4.5: OpenEarthMap Benchmark Suite and Its Applications
Naoto Yokoya, The University of Tokyo and RIKEN, Japan; Junshi Xia, Clifford Broni-Bediako, RIKEN, Japan; Jian Song, Hongruixuan Chen, The University of Tokyo and RIKEN, Japan
TU4.R4.7: IMPACT ASSESSMENT OF MISSING DATA IN MODEL PREDICTIONS FOR EARTH OBSERVATION APPLICATIONS
Francisco Mena, University of Kaiserslautern-Landau, Germany; Diego Arenas, Marcela Charfuelan, Marlon Nuske, German Research Center for Artificial Intelligence, Germany; Andreas Dengel, University of Kaiserslautern-Landau, Germany