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A Vicarious Technique for Understanding and Diagnosing Hyperspectral Spatial Misregistration

Pushbroom hyperspectral imaging (HSI) systems intrinsically measure our surroundings by leveraging 1D spatial imaging, where each pixel contains a unique spectrum of the observed materials. Spatial misregistration is an important property of HSI systems because it defines the spectral integrity of s...

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Autores principales: Conran, David N., Ientilucci, Emmett J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10181606/
https://www.ncbi.nlm.nih.gov/pubmed/37177541
http://dx.doi.org/10.3390/s23094333
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author Conran, David N.
Ientilucci, Emmett J.
author_facet Conran, David N.
Ientilucci, Emmett J.
author_sort Conran, David N.
collection PubMed
description Pushbroom hyperspectral imaging (HSI) systems intrinsically measure our surroundings by leveraging 1D spatial imaging, where each pixel contains a unique spectrum of the observed materials. Spatial misregistration is an important property of HSI systems because it defines the spectral integrity of spatial pixels and requires characterization. The IEEE P4001 Standards Association committee has defined laboratory-based methods to test the ultimate limit of HSI systems but negates any impacts from mounting and flying the instruments on airborne platforms such as unmanned aerial vehicles (UAV’s) or drones. Our study was designed to demonstrate a novel vicarious technique using convex mirrors to bridge the gap between laboratory and field-based HSI performance testing with a focus on extracting hyperspectral spatial misregistration. A fast and simple extraction technique is proposed for estimating the sampled Point Spread Function’s width, along with keystone, as a function of wavelength for understanding the key contributors to hyperspectral spatial misregistration. With the ease of deploying convex mirrors, off-axis spatial misregistration is assessed and compared with on-axis behavior, where the best performance is often observed. In addition, convex mirrors provide an easy methodology to exploit ortho-rectification errors related to fixed pushbroom HSI systems, which we will show. The techniques discussed in this study are not limited to drone-based systems but can be easily applied to other airborne or satellite-based systems.
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spelling pubmed-101816062023-05-13 A Vicarious Technique for Understanding and Diagnosing Hyperspectral Spatial Misregistration Conran, David N. Ientilucci, Emmett J. Sensors (Basel) Article Pushbroom hyperspectral imaging (HSI) systems intrinsically measure our surroundings by leveraging 1D spatial imaging, where each pixel contains a unique spectrum of the observed materials. Spatial misregistration is an important property of HSI systems because it defines the spectral integrity of spatial pixels and requires characterization. The IEEE P4001 Standards Association committee has defined laboratory-based methods to test the ultimate limit of HSI systems but negates any impacts from mounting and flying the instruments on airborne platforms such as unmanned aerial vehicles (UAV’s) or drones. Our study was designed to demonstrate a novel vicarious technique using convex mirrors to bridge the gap between laboratory and field-based HSI performance testing with a focus on extracting hyperspectral spatial misregistration. A fast and simple extraction technique is proposed for estimating the sampled Point Spread Function’s width, along with keystone, as a function of wavelength for understanding the key contributors to hyperspectral spatial misregistration. With the ease of deploying convex mirrors, off-axis spatial misregistration is assessed and compared with on-axis behavior, where the best performance is often observed. In addition, convex mirrors provide an easy methodology to exploit ortho-rectification errors related to fixed pushbroom HSI systems, which we will show. The techniques discussed in this study are not limited to drone-based systems but can be easily applied to other airborne or satellite-based systems. MDPI 2023-04-27 /pmc/articles/PMC10181606/ /pubmed/37177541 http://dx.doi.org/10.3390/s23094333 Text en © 2023 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
Conran, David N.
Ientilucci, Emmett J.
A Vicarious Technique for Understanding and Diagnosing Hyperspectral Spatial Misregistration
title A Vicarious Technique for Understanding and Diagnosing Hyperspectral Spatial Misregistration
title_full A Vicarious Technique for Understanding and Diagnosing Hyperspectral Spatial Misregistration
title_fullStr A Vicarious Technique for Understanding and Diagnosing Hyperspectral Spatial Misregistration
title_full_unstemmed A Vicarious Technique for Understanding and Diagnosing Hyperspectral Spatial Misregistration
title_short A Vicarious Technique for Understanding and Diagnosing Hyperspectral Spatial Misregistration
title_sort vicarious technique for understanding and diagnosing hyperspectral spatial misregistration
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10181606/
https://www.ncbi.nlm.nih.gov/pubmed/37177541
http://dx.doi.org/10.3390/s23094333
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