Semi-Automatic Spectral Image Stitching for a Compact Hybrid Linescan Hyperspectral Camera towards Near Field Remote Monitoring of Potato Crop Leaves

The miniaturization of hyperspectral cameras has opened a new path to capture spectral information. One such camera, called the hybrid linescan camera, requires accurate control of its movement. Contrary to classical linescan cameras, where one line is available for every band in one shot, the latte...

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Autores principales:	Pierre Chatelain, Gilles Delmaire, Ahed Alboody, Matthieu Puigt, Gilles Roussel
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	spatio-spectral scanning hyperspectral stitching Chemical technology TP1-1185
Acceso en línea:	https://doaj.org/article/e8a4a98c39a54f6f8622479e70367e9c
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spelling	oai:doaj.org-article:e8a4a98c39a54f6f8622479e70367e9c2021-11-25T18:57:59ZSemi-Automatic Spectral Image Stitching for a Compact Hybrid Linescan Hyperspectral Camera towards Near Field Remote Monitoring of Potato Crop Leaves10.3390/s212276161424-8220https://doaj.org/article/e8a4a98c39a54f6f8622479e70367e9c2021-11-01T00:00:00Zhttps://www.mdpi.com/1424-8220/21/22/7616https://doaj.org/toc/1424-8220The miniaturization of hyperspectral cameras has opened a new path to capture spectral information. One such camera, called the hybrid linescan camera, requires accurate control of its movement. Contrary to classical linescan cameras, where one line is available for every band in one shot, the latter asks for multiple shots to fill a line with multiple bands. Unfortunately, the reconstruction is corrupted by a parallax effect, which affects each band differently. In this article, we propose a two-step procedure, which first reconstructs an approximate datacube in two different ways, and second, performs a corrective warping on each band based on a multiple homography framework. The second step combines different stitching methods to perform this reconstruction. A complete synthetic and experimental comparison is performed by using geometric indicators of reference points. It appears throughout the course of our experimentation that misalignment is significantly reduced but remains non-negligible at the potato leaf scale.Pierre ChatelainGilles DelmaireAhed AlboodyMatthieu PuigtGilles RousselMDPI AGarticlespatio-spectral scanninghyperspectral stitchingChemical technologyTP1-1185ENSensors, Vol 21, Iss 7616, p 7616 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	spatio-spectral scanning hyperspectral stitching Chemical technology TP1-1185
spellingShingle	spatio-spectral scanning hyperspectral stitching Chemical technology TP1-1185 Pierre Chatelain Gilles Delmaire Ahed Alboody Matthieu Puigt Gilles Roussel Semi-Automatic Spectral Image Stitching for a Compact Hybrid Linescan Hyperspectral Camera towards Near Field Remote Monitoring of Potato Crop Leaves
description	The miniaturization of hyperspectral cameras has opened a new path to capture spectral information. One such camera, called the hybrid linescan camera, requires accurate control of its movement. Contrary to classical linescan cameras, where one line is available for every band in one shot, the latter asks for multiple shots to fill a line with multiple bands. Unfortunately, the reconstruction is corrupted by a parallax effect, which affects each band differently. In this article, we propose a two-step procedure, which first reconstructs an approximate datacube in two different ways, and second, performs a corrective warping on each band based on a multiple homography framework. The second step combines different stitching methods to perform this reconstruction. A complete synthetic and experimental comparison is performed by using geometric indicators of reference points. It appears throughout the course of our experimentation that misalignment is significantly reduced but remains non-negligible at the potato leaf scale.
format	article
author	Pierre Chatelain Gilles Delmaire Ahed Alboody Matthieu Puigt Gilles Roussel
author_facet	Pierre Chatelain Gilles Delmaire Ahed Alboody Matthieu Puigt Gilles Roussel
author_sort	Pierre Chatelain
title	Semi-Automatic Spectral Image Stitching for a Compact Hybrid Linescan Hyperspectral Camera towards Near Field Remote Monitoring of Potato Crop Leaves
title_short	Semi-Automatic Spectral Image Stitching for a Compact Hybrid Linescan Hyperspectral Camera towards Near Field Remote Monitoring of Potato Crop Leaves
title_full	Semi-Automatic Spectral Image Stitching for a Compact Hybrid Linescan Hyperspectral Camera towards Near Field Remote Monitoring of Potato Crop Leaves
title_fullStr	Semi-Automatic Spectral Image Stitching for a Compact Hybrid Linescan Hyperspectral Camera towards Near Field Remote Monitoring of Potato Crop Leaves
title_full_unstemmed	Semi-Automatic Spectral Image Stitching for a Compact Hybrid Linescan Hyperspectral Camera towards Near Field Remote Monitoring of Potato Crop Leaves
title_sort	semi-automatic spectral image stitching for a compact hybrid linescan hyperspectral camera towards near field remote monitoring of potato crop leaves
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/e8a4a98c39a54f6f8622479e70367e9c
work_keys_str_mv	AT pierrechatelain semiautomaticspectralimagestitchingforacompacthybridlinescanhyperspectralcameratowardsnearfieldremotemonitoringofpotatocropleaves AT gillesdelmaire semiautomaticspectralimagestitchingforacompacthybridlinescanhyperspectralcameratowardsnearfieldremotemonitoringofpotatocropleaves AT ahedalboody semiautomaticspectralimagestitchingforacompacthybridlinescanhyperspectralcameratowardsnearfieldremotemonitoringofpotatocropleaves AT matthieupuigt semiautomaticspectralimagestitchingforacompacthybridlinescanhyperspectralcameratowardsnearfieldremotemonitoringofpotatocropleaves AT gillesroussel semiautomaticspectralimagestitchingforacompacthybridlinescanhyperspectralcameratowardsnearfieldremotemonitoringofpotatocropleaves
_version_	1718410497956511744

Semi-Automatic Spectral Image Stitching for a Compact Hybrid Linescan Hyperspectral Camera towards Near Field Remote Monitoring of Potato Crop Leaves

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