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:
Fairchild
Presentation Time:
Friday, 14 August, 11:15 - 11:30
Session Chair:
Dengfeng Chai, Zhejiang University
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: 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
Resources
No resources available.