FODA: Building Change Detection in High-Resolution Remote Sensing Images Based on Feature–Output Space Dual-Alignment

FODA: Building Change Detection in High-Resolution Remote Sensing Images Based on Feature–Output Space Dual-Alignment

In building change detection task, factors such as phenological changes, illumination changes, and registration errors will cause unchanged areas in remote sensing images to have obvious differences in pixels, which will lead to pseudochanges in results. Existing methods focus on the change informat...

Full description

Bibliographic Details
Main Authors: Yi Zhang, Min Deng, Fen He, Ya Guo, Geng Sun, Jie Chen
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Adversarial learning
change detection
feature space alignment
output space alignment
pseudochange
Online Access:https://ieeexplore.ieee.org/document/9512515/

Internet

https://ieeexplore.ieee.org/document/9512515/

Similar Items