WE1.M1: The Prospect of Remote Sensing Foundation Models: From Generation to Application
Wednesday, 6 August, 08:00 - 09:15
Location: Room M1
Session Type: Oral
Session Co-Chairs: Hongsheng Zhang, The University of Hong Kong and Rui Liu, The University of Hong Kong
Track: Community-Contributed Sessions
Wed, 6 Aug, 08:00 - 08:15

WE1.M1.2: SELF-SUPERVISED PRE-TRAINING FOR MULTI-TEMPORAL REMOTE SENSING IMAGERY BY JOINT EMBEDDING LEARNING
Qi Guo, Wuhan University, China; Jue Wang, Beijing Institute of Technology, China; Yinhe Liu, Yanfei Zhong, Wuhan University, China
Wed, 6 Aug, 08:15 - 08:30

WE1.M1.3: SSL-LIP: A two-stage Pre-training foundation model for SAR images
Yi Yang, Qingchen Fang, Xiaokun Zhang, Haipeng Wang, Fudan University, China
Wed, 6 Aug, 08:30 - 08:45

WE1.M1.4: MULTISPECTRAL TO HYPERSPECTRAL USING PRE-TRAINED FOUNDATIONAL MODEL
Ruben Gonzalez, Remote Sensing Technology Institute, German Aerospace Center (DLR), Germany, Germany; Devyani Lambhate, Joao Lucas de Sousa Almeida, Paolo Fraccaro, Benedikt Blumenstiel, IBM Research, India; Conrad Albrecht, Remote Sensing Technology Institute, German Aerospace Center (DLR), Germany, Germany; Thomas Brunschwiler, IBM Research, Germany; Nassim Ait Ali Braham, Remote Sensing Technology Institute, German Aerospace Center (DLR), Germany, Germany; Ranjini Bangalore, IBM Research, India
Wed, 6 Aug, 08:45 - 09:00

WE1.M1.5: Toward data quality evaluation in pre-train dataset for remote sensing foundation model
Rui Liu, Hongsheng Zhang, The University of Hong Kong, China; Jing Ling, Guangdong University of Technology, China