WE2.R1.1: TOWARD FOUNDATION MODELS FOR EARTH MONITORING: GENERALIZABLE DEEP LEARNING MODELS FOR NATURAL HAZARD SEGMENTATION
Johannes Jakubik, Karlsruhe Institute of Technology, Germany; Michal Muszynski, IBM Research Europe, Switzerland; Michael Vössing, Karlsruhe Institute of Technology, Germany; Niklas Kühl, University of Bayreuth, Germany; Thomas Brunschwiler, IBM Research Europe, Switzerland
WE2.R1.2: SEMI-SUPERVISED SATELLITE IMAGE SEGMENTATION USING SPATIAL AND TEMPORALLY INFORMED POISSON LEARNING
Xiqi Fei, Minh Tri Le, Duy H. Thai, Konrad Wessels, George Mason University, United States; Andreas Züfle, Emory University, United States
WE2.R1.3: ARE CLASSIC FORENSIC TOOLS EFFECTIVE ON SATELLITE IMAGERY?
Matthieu Serfaty, Tina Nikoukhah, Quentin Bammey, Rafael Grompone von Gioi, Université Paris Saclay, France; Carlo de Franchis, Kayrros SAS, France
WE2.R1.4: A DATA-CENTRIC APPROACH FOR RAPID GENERATION OF REMOTE SENSING DATASETS USING ITERATIVE LEARNING AND SPARSE ANNOTATIONS
Osmar Carvalho, Anesmar Albuquerque, Argelica Saiaka Luiz, Pedro Ferreira, Osmar de Carvalho Junior, University of Brasília, Brazil; Lichao Mou, Technical University of Munich, Germany; Daniel Silva, University of Brasília, Brazil
WE2.R1.5: DIFFUSION MODELS FOR REMOTE SENSING IMAGERY SEMANTIC SEGMENTATION
Christian Ayala, Rubén Sesma, Carlos Aranda, Tracasa Instrumental S.L., Spain; Mikel Galar, Public University of Navarre, Spain
