CD-Lamba: Boosting Remote Sensing Change Detection via a Cross-Temporal Locally Adaptive State Space Model

Mamba, with itsadvantages of global perception and linear complexity, has been widely applied to identify changes of the target regions within the remote sensing (RS) images captured under complex scenarios and varied conditions. However, existing remote sensing change detection (RSCD) approaches ba...

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Detalhes bibliográficos

Principais autores:	Zhenkai Wu, Xiaowen Ma, Kai Zheng, Rongrong Lian, Yun Chen, Zhenhua Huang, Wei Zhang, Siyang Song
Formato:	Artigo
Idioma:	Inglês
Publicado em:	IEEE 2026-01-01
coleção:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Assuntos:	Adaptive locality remote sensing change detection (RSCD) spatio-temporal context state space model (SSM)
Acesso em linha:	https://ieeexplore.ieee.org/document/11322867/
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