TGDAnet: Text-Guided Domain Adaptation Network for Hyperspectral Binary Change Detection (opens in new tab)

Deep-learning-based hyperspectral binary change detection (CD) methods have achieved impressive performance. However, their effectiveness is often constrained by the high cost of obtaining labeled hyperspectral images (HSIs). A natural and intuitive idea is to use knowledge learned from domains with rich labels and transfer it to unlabeled domains. Nevertheless, domain discrepancies significantly reduce detection performance when direct cross-domain transfer is applied. To address this challe...