Multilinear compressive learning and reconstruction of hyperspectral data with U-Net architecture for enhanced spectral imaging-Reference-Cited by-同舟云学术

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Multilinear compressive learning and reconstruction of hyperspectral data with U-Net architecture for enhanced spectral imaging

Published:2024-12 Issue: Volume:155 Page:104740
ISSN:1051-2004
Container-title:Digital Signal Processing
language:en
Short-container-title:Digital Signal Processing

Author:

Aravinth J.,Anand R.^ORCID,Samiappan Sathishkumar

Publisher

Elsevier BV

Reference31 articles.

1. Hyperspectral satellites, evolution, and development history;Qian;IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens.,2021

2. Multiobjective optimization-based hyperspectral band selection for target detection;Song;IEEE Trans. Geosci. Remote Sens.,2022

3. Band selection using variational mode decomposition applied in sparsity-based hyperspectral unmixing algorithms;Swarna;Signal Image Video Process.,2018

4. Multi- objective multi- verse optimizer based unsupervised band selection for hyperspectral image classification;Sawant;Int. J. Remote Sens.,2022

5. Optimized hyperspectral band selection using particle swarm optimization;Su;IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens.,2014

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