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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...

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Detalles Bibliográficos
Autores principales: García-Sánchez, Ignacio, Fresnedo, Óscar, González-Coma, José P., Castedo, Luis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
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.
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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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