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

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...

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Bibliographic Details
Main Authors: Hongyu Xie, Mingyu Yang, Huansong Huang, Mingle Zhang, Wei Zhang, Qingbin Jiao, Liang Xu, Xin Tan
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Remote Sensing
Subjects:
hyperspectral image reconstruction
blur–kernel–prior denoise
spectral–spatial attention
deep learning
Online Access:https://www.mdpi.com/2072-4292/17/8/1401
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