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.M1.1: SAMPOLYBUILD: ADAPTING THE SEGMENT ANYTHING MODEL FOR POLYGONAL BUILDING EXTRACTION
Chenhao Wang, Jingbo Chen, Yu Meng, Yupeng Deng, Kai Li, Yunlong Kong, Aerospace Information Research Institute, Chinese Academy of Sciences, China
Wed, 6 Aug, 08:15 - 08:30

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, 08:30 - 08:45

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, 08:45 - 09:00

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, 09:00 - 09:15

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