FR2.R9.2
An interpretable remote sensing change detection method based on prototype learning
Haiyan Gu, Chinese Academy of Surveying and Mapping, China; Meng Xiao, Moganshan Geospatial Information Laboratory, China; Jiacheng Hu, Chinese Academy of Surveying and Mapping, China
Session:
FR2.R9: Application-Oriented Remote Sensing Image Analysis Tasks (2/3) Oral
Track:
Community Contributed Themes
Location:
TBD
Presentation Time:
Fri, 14 Aug, 11:15 - 11:30
Presentation
Discussion
Resources
No resources available.
Session FR2.R9
FR2.R9.1: RELATIONAL STRUCTURE-CONSISTENT LEARNING FOR CROSS-DOMAIN FEW-SHOT SCENE CLASSIFICATION
He Wang, Yang Xu, Bo Song, Zhihui Wei, Zebin Wu, Nanjing University of Science and Technology, China
FR2.R9.2: An interpretable remote sensing change detection method based on prototype learning
Haiyan Gu, Chinese Academy of Surveying and Mapping, China; Meng Xiao, Moganshan Geospatial Information Laboratory, China; Jiacheng Hu, Chinese Academy of Surveying and Mapping, China
FR2.R9.3: MICA-NET: A MISSING-MODALITY INVARIANT CROSS-ATTENTION NETWORK FOR LAND COVER MAPPING
Zhiyi Wang, Junjie Ma, Zhiyuan Wang, Fengming Hu, Fudan University, China
FR2.R9.4: ADVANCING VIDEO-BASED CHANGE DETECTION IN REMOTE SENSING THROUGH DYNAMIC FRAME GENERATION AND TEMPORAL CONSISTENCY
Ruodi Huang, Northwestern Polytechnical University, China; Fei Zhou, The Chinese University of Hong Kong, China; Lei Zhang, Wei Wei, Northwestern Polytechnical University, China; Chen Ding, Xi'an University of Posts and Telecommunications, China; Yi Zhang, Liang Li, China Mobile Research Institute, China; Xiangyu Yue, The Chinese University of Hong Kong, China
FR2.R9.5: Multiscale Building Footprint Identification Using Wavelet-Attentive Networks
Rizwan Ahmed Ansari, North Carolina Central University, United States; Nishant Keni, Indian Institute of Technology Bombay, India; Rakesh Malhotra, Timothy Mulrooney, North Carolina Central University, United States
Contacts