Change Detection From Synthetic Aperture Radar Images via Graph-Based Knowledge Supplement Network
Synthetic aperture radar (SAR) image change detection is a vital yet challenging task in the field of remote sensing image analysis.Most previous works adopt a self-supervised method which uses pseudolabeled samples to guide subsequent training and testing.However, deep networks commonly require many high-quality samples for parameter optimization.