Hyperspectral Reconstruction Method Based on Global Gradient Information and Local Low-Rank Priors

Hyperspectral Reconstruction Method Based on Global Gradient Information and Local Low-Rank Priors

Hyperspectral compressed imaging is a novel imaging detection technology based on compressed sensing theory that can quickly acquire spectral information of terrestrial objects in a single exposure. It combines reconstruction algorithms to recover hyperspectral data from low-dimensional measurement...

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Bibliographic Details
Main Authors: Chipeng Cao, Jie Li, Pan Wang, Weiqiang Jin, Runrun Zou, Chun Qi
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Remote Sensing
Subjects:
hyperspectral remote sensing
hyperspectral reconstruction
compressed sensing
denoising
machine learning
Online Access:https://www.mdpi.com/2072-4292/16/24/4759
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