AIR-POLSAR-CR1.0: A Benchmark Dataset for Cloud Removal in High-Resolution Optical Remote Sensing Images with Fully Polarized SAR

Due to the all-time and all-weather characteristics of synthetic aperture radar (SAR) data, they have become an important input for optical image restoration, and various cloud removal datasets based on SAR-optical have been proposed. Currently, the construction of multi-source cloud removal dataset...

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Principais autores:	Yuxi Wang, Wenjuan Zhang, Jie Pan, Wen Jiang, Fangyan Yuan, Bo Zhang, Xijuan Yue, Bing Zhang
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2025-01-01
Colecção:	Remote Sensing
Assuntos:	remote sensing cloud removal deep learning dataset full PolSAR
Acesso em linha:	https://www.mdpi.com/2072-4292/17/2/275
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