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
Session:
WE1.R9: Change Detection Applications Oral
Track:
Theory and Techniques
Location:
Fairchild
Presentation Time:
Wednesday, 12 August, 09:15 - 09:30
Session Co-Chairs:
Jacob Arndt, Oak Ridge National Laboratory and Shiqi Yang, Massachusetts Institute of Technology
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; Stephan Palm, Quantum Systems GmbH; Francesca Bovolo, Fondazione Bruno Kessler
WE1.R9.2: Evaluating Graph Neural Networks for Change-Criticality Classification in Maritime Navigation Charts
Abhishek Potnis, Jacob Arndt, Oak Ridge National Laboratory; ,
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
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
WE1.R9.5: BIDIRECTIONAL SAMPLE CONSTRUCTION FOR SEMI-SUPERVISED REMOTE SENSING CHANGE DETECTION
Yang Zhang, Xi'an Research Institute of Navigation Technology; KaiCheng Mo, JiaYi Yang, Yang Hu, ZiNing Wang, Shuang Wang, Xidian University
Resources
No resources available.