Hyperspectral Image Reconstruction Based on Blur–Kernel–Prior and Spatial–Spectral Attention

Given the problem of spatial detail loss and spectral feature degradation in hyperspectral images (HSIs) characterized as blur, often caused by noise during image acquisition, and methods of removing blur noise designed on HSIs being insufficient, we propose an HSI reconstruction network based on a...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Hongyu Xie, Mingyu Yang, Huansong Huang, Mingle Zhang, Wei Zhang, Qingbin Jiao, Liang Xu, Xin Tan
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	MDPI AG 2025-04-01
Sarja:	Remote Sensing
Aiheet:	hyperspectral image reconstruction blur–kernel–prior denoise spectral–spatial attention deep learning
Linkit:	https://www.mdpi.com/2072-4292/17/8/1401
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