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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Podrobná bibliografie

Hlavní autoři:	Chengyao Zhang, Fengyan Wang, Xuqing Zhang, Mingchang Wang, Feng Chen, Xiang Wu, Weitong Ma
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Elsevier 2026-02-01
Edice:	International Journal of Applied Earth Observations and Geoinformation
Témata:	Cloud removal Multi-temporal remote sensing images Temporal-spectral-spatial state space model Feature fusion
On-line přístup:	http://www.sciencedirect.com/science/article/pii/S1569843226000476
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