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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Bibliografiske detaljer

Principais autores:	Chengyao Zhang, Fengyan Wang, Xuqing Zhang, Mingchang Wang, Feng Chen, Xiang Wu, Weitong Ma
Format:	Artigo
Sprog:	Inglês
Udgivet:	Elsevier 2026-02-01
Serier:	International Journal of Applied Earth Observations and Geoinformation
Fag:	Cloud removal Multi-temporal remote sensing images Temporal-spectral-spatial state space model Feature fusion
Online adgang:	http://www.sciencedirect.com/science/article/pii/S1569843226000476
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