Unsupervised Change Detection in Heterogeneous Remote Sensing Images via Dynamic Mask Guidance

Unsupervised change detection (CD) in heterogeneous remote sensing images is intrinsically difficult due to severe sensor-specific discrepancies. In the absence of ground truth, these discrepancies result in ambiguous optimization objectives that make it difficult for models to distinguish true land...

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Detalles Bibliográficos

Principais autores:	Paixin Xie, Gao Chen, Qingfeng Zhou, Xiaoyan Li, Jingwen Yan
Formato:	Artigo
Idioma:	Inglês
Publicado:	MDPI AG 2026-03-01
Series:	Remote Sensing
Assuntos:	remote sensing heterogeneous change detection mask guidance strategy unsupervised learning
Acceso en liña:	https://www.mdpi.com/2072-4292/18/7/1022
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