Disentangle to Align: A New Paradigm for Robust Change Detection via Adversarial Feature Purification
Remote sensing change detection (RSCD) remains vulnerable to pseudo-changes caused by seasonal, illumination, and atmospheric discrepancies between bi-temporal images. Existing deep models often ignore this temporal distribution gap or align entangled features directly, which may corrupt change-relevant semantics and c...