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Enhanced semantic segmentation in remote sensing images with SAR-optical image fusion (IF) and image translation (IT)

Abstract In general, high-fidelity remote sensing requires both synthetic aperture radar (SAR) images, which are available all-day all-weather but could be challenging to interpret, and optical images, which are human-interpretable but are only available in favorable light conditions. Two of the mos...

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Autori principali: Chongqi Xu, Zhe Geng, Linyi Wu, Daiyin Zhu
Natura: Artigo
Lingua:Inglês
Pubblicazione: Nature Portfolio 2025-10-01
Serie:Scientific Reports
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Accesso online:https://doi.org/10.1038/s41598-025-19402-y
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