WE1.R9.2
Evaluating Graph Neural Networks for Change-Criticality Classification in Maritime Navigation Charts
Abhishek Potnis, Jacob Arndt, Oak Ridge National Laboratory, United States
Session:
WE1.R9: Change Detection Applications Oral
Track:
Theory and Techniques
Location:
TBD
Presentation Time:
Wed, 12 Aug, 08:45 - 09:00
Presentation
Discussion
Resources
No resources available.
Session WE1.R9
WE1.R9.1: A DEMONSTRATOR FOR SPACE-BORNE TILED SAR-BASED REAL-TIME RAILWAY OBSTACLE DETECTION
Massimo Zanetti, Fondazione Bruno Kessler, Italy; Stephan Palm, Quantum Systems GmbH, Italy; Francesca Bovolo, Fondazione Bruno Kessler, Italy
WE1.R9.2: Evaluating Graph Neural Networks for Change-Criticality Classification in Maritime Navigation Charts
Abhishek Potnis, Jacob Arndt, Oak Ridge National Laboratory, United States
WE1.R9.3: A Physics-Informed Workflow for Change Detection in Mining Sites Using Remote Sensing Data
Shiqi Yang, Danielle Coogan, Kerri Cahoy, Massachusetts Institute of Technology, United States
WE1.R9.4: JOINT HEIGHT AND SEMANTIC CHANGE DETECTION IN MULTISENSOR IMAGES VIA MULTISCALE MIXTURE-OF-EXPERTS FUSION
Hao Liu, Yongjie Zheng, Lorenzo Bruzzone, University of Trento, Italy
WE1.R9.5: BIDIRECTIONAL SAMPLE CONSTRUCTION FOR SEMI-SUPERVISED REMOTE SENSING CHANGE DETECTION
Yang Zhang, Xi'an Research Institute of Navigation Technology, China; KaiCheng Mo, JiaYi Yang, Yang Hu, ZiNing Wang, Shuang Wang, Xidian University, China
Contacts