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Towards Low-Cost Hyperspectral Single-Pixel Imaging for Plant Phenotyping
Hyperspectral imaging techniques have been expanding considerably in recent years. The cost of current solutions is decreasing, but these high-end technologies are not yet available for moderate to low-cost outdoor and indoor applications. We have used some of the latest compressive sensing methods...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7070961/ https://www.ncbi.nlm.nih.gov/pubmed/32093006 http://dx.doi.org/10.3390/s20041132 |
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author | Ribes, Mathieu Russias, Gaspard Tregoat, Denis Fournier, Antoine |
author_facet | Ribes, Mathieu Russias, Gaspard Tregoat, Denis Fournier, Antoine |
author_sort | Ribes, Mathieu |
collection | PubMed |
description | Hyperspectral imaging techniques have been expanding considerably in recent years. The cost of current solutions is decreasing, but these high-end technologies are not yet available for moderate to low-cost outdoor and indoor applications. We have used some of the latest compressive sensing methods with a single-pixel imaging setup. Projected patterns were generated on Fourier basis, which is well-known for its properties and reduction of acquisition and calculation times. A low-cost, moderate-flow prototype was developed and studied in the laboratory, which has made it possible to obtain metrologically validated reflectance measurements using a minimal computational workload. From these measurements, it was possible to discriminate plant species from the rest of a scene and to identify biologically contrasted areas within a leaf. This prototype gives access to easy-to-use phenotyping and teaching tools at very low-cost. |
format | Online Article Text |
id | pubmed-7070961 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-70709612020-03-19 Towards Low-Cost Hyperspectral Single-Pixel Imaging for Plant Phenotyping Ribes, Mathieu Russias, Gaspard Tregoat, Denis Fournier, Antoine Sensors (Basel) Article Hyperspectral imaging techniques have been expanding considerably in recent years. The cost of current solutions is decreasing, but these high-end technologies are not yet available for moderate to low-cost outdoor and indoor applications. We have used some of the latest compressive sensing methods with a single-pixel imaging setup. Projected patterns were generated on Fourier basis, which is well-known for its properties and reduction of acquisition and calculation times. A low-cost, moderate-flow prototype was developed and studied in the laboratory, which has made it possible to obtain metrologically validated reflectance measurements using a minimal computational workload. From these measurements, it was possible to discriminate plant species from the rest of a scene and to identify biologically contrasted areas within a leaf. This prototype gives access to easy-to-use phenotyping and teaching tools at very low-cost. MDPI 2020-02-19 /pmc/articles/PMC7070961/ /pubmed/32093006 http://dx.doi.org/10.3390/s20041132 Text en © 2020 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Ribes, Mathieu Russias, Gaspard Tregoat, Denis Fournier, Antoine Towards Low-Cost Hyperspectral Single-Pixel Imaging for Plant Phenotyping |
title | Towards Low-Cost Hyperspectral Single-Pixel Imaging for Plant Phenotyping |
title_full | Towards Low-Cost Hyperspectral Single-Pixel Imaging for Plant Phenotyping |
title_fullStr | Towards Low-Cost Hyperspectral Single-Pixel Imaging for Plant Phenotyping |
title_full_unstemmed | Towards Low-Cost Hyperspectral Single-Pixel Imaging for Plant Phenotyping |
title_short | Towards Low-Cost Hyperspectral Single-Pixel Imaging for Plant Phenotyping |
title_sort | towards low-cost hyperspectral single-pixel imaging for plant phenotyping |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7070961/ https://www.ncbi.nlm.nih.gov/pubmed/32093006 http://dx.doi.org/10.3390/s20041132 |
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