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Coded Aperture Hyperspectral Image Reconstruction
In this work, we study and analyze the reconstruction of hyperspectral images that are sampled with a CASSI device. The sensing procedure was modeled with the help of the CS theory, which enabled efficient mechanisms for the reconstruction of the hyperspectral images from their compressive measureme...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8512882/ https://www.ncbi.nlm.nih.gov/pubmed/34640872 http://dx.doi.org/10.3390/s21196551 |
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author | García-Sánchez, Ignacio Fresnedo, Óscar González-Coma, José P. Castedo, Luis |
author_facet | García-Sánchez, Ignacio Fresnedo, Óscar González-Coma, José P. Castedo, Luis |
author_sort | García-Sánchez, Ignacio |
collection | PubMed |
description | In this work, we study and analyze the reconstruction of hyperspectral images that are sampled with a CASSI device. The sensing procedure was modeled with the help of the CS theory, which enabled efficient mechanisms for the reconstruction of the hyperspectral images from their compressive measurements. In particular, we considered and compared four different type of estimation algorithms: OMP, GPSR, LASSO, and IST. Furthermore, the large dimensions of hyperspectral images required the implementation of a practical block CASSI model to reconstruct the images with an acceptable delay and affordable computational cost. In order to consider the particularities of the block model and the dispersive effects in the CASSI-like sensing procedure, the problem was reformulated, as well as the construction of the variables involved. For this practical CASSI setup, we evaluated the performance of the overall system by considering the aforementioned algorithms and the different factors that impacted the reconstruction procedure. Finally, the obtained results were analyzed and discussed from a practical perspective. |
format | Online Article Text |
id | pubmed-8512882 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-85128822021-10-14 Coded Aperture Hyperspectral Image Reconstruction García-Sánchez, Ignacio Fresnedo, Óscar González-Coma, José P. Castedo, Luis Sensors (Basel) Article In this work, we study and analyze the reconstruction of hyperspectral images that are sampled with a CASSI device. The sensing procedure was modeled with the help of the CS theory, which enabled efficient mechanisms for the reconstruction of the hyperspectral images from their compressive measurements. In particular, we considered and compared four different type of estimation algorithms: OMP, GPSR, LASSO, and IST. Furthermore, the large dimensions of hyperspectral images required the implementation of a practical block CASSI model to reconstruct the images with an acceptable delay and affordable computational cost. In order to consider the particularities of the block model and the dispersive effects in the CASSI-like sensing procedure, the problem was reformulated, as well as the construction of the variables involved. For this practical CASSI setup, we evaluated the performance of the overall system by considering the aforementioned algorithms and the different factors that impacted the reconstruction procedure. Finally, the obtained results were analyzed and discussed from a practical perspective. MDPI 2021-09-30 /pmc/articles/PMC8512882/ /pubmed/34640872 http://dx.doi.org/10.3390/s21196551 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article García-Sánchez, Ignacio Fresnedo, Óscar González-Coma, José P. Castedo, Luis Coded Aperture Hyperspectral Image Reconstruction |
title | Coded Aperture Hyperspectral Image Reconstruction |
title_full | Coded Aperture Hyperspectral Image Reconstruction |
title_fullStr | Coded Aperture Hyperspectral Image Reconstruction |
title_full_unstemmed | Coded Aperture Hyperspectral Image Reconstruction |
title_short | Coded Aperture Hyperspectral Image Reconstruction |
title_sort | coded aperture hyperspectral image reconstruction |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8512882/ https://www.ncbi.nlm.nih.gov/pubmed/34640872 http://dx.doi.org/10.3390/s21196551 |
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