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Xiaoliang Meng

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2026

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...

Changxin Lu, Sijun Dong, Xiaoliang Meng · 0 citations

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