TSSMamba: A temporal–spectral–spatial state space model for multi-temporal remote sensing cloud removal

Cloud cover in optical remote sensing imagery severely limits its effectiveness for downstream applications. Compared with cloud removal methods that rely on Synthetic Aperture Radar (SAR) data or single cloud‐free references, multi-temporal imagery provides richer, more stable and more reliable aux...

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Detalhes bibliográficos

Principais autores:	Chengyao Zhang, Fengyan Wang, Xuqing Zhang, Mingchang Wang, Feng Chen, Xiang Wu, Weitong Ma
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Elsevier 2026-02-01
coleção:	International Journal of Applied Earth Observations and Geoinformation
Assuntos:	Cloud removal Multi-temporal remote sensing images Temporal-spectral-spatial state space model Feature fusion
Acesso em linha:	http://www.sciencedirect.com/science/article/pii/S1569843226000476
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