An End-to-end Supervised Domain Adaptation Framework for Cross-Domain Change Detection

• Published in: Pattern recognition Vol. 132; p. 108960
• Main Authors: Liu, Jia, Xuan, Wenjie, Gan, Yuhang, Zhan, Yibing, Liu, Juhua, Du, Bo
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.12.2022
• Subjects: Change Detection; Feature Adaptation; Image Adaptation; Supervised Domain Adaptation; Supervised Domain Adaptation; Feature Adaptation; Image Adaptation; Change Detection
• ISSN: 0031-3203; 1873-5142
• DOI: 10.1016/j.patcog.2022.108960

•A novel supervised domain adaptation framework SDACD for cross-domain change detection.•SDACD unifies image adaptation and feature adaptation in an end-to-end trainable manner.•SDACD can handle cross-domain change detection and consistently improve the performance as an easy-to-plug-in module.•Our...