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A Procedure for High Resolution Satellite Imagery Quality Assessment

Data products generated from High Resolution Satellite Imagery (HRSI) are routinely evaluated during the so-called in-orbit test period, in order to verify if their quality fits the desired features and, if necessary, to obtain the image correction parameters to be used at the ground processing cent...

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Detalles Bibliográficos
Autores principales: Crespi, Mattia, De Vendictis, Laura
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3297129/
https://www.ncbi.nlm.nih.gov/pubmed/22412312
http://dx.doi.org/10.3390/s90503289
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author Crespi, Mattia
De Vendictis, Laura
author_facet Crespi, Mattia
De Vendictis, Laura
author_sort Crespi, Mattia
collection PubMed
description Data products generated from High Resolution Satellite Imagery (HRSI) are routinely evaluated during the so-called in-orbit test period, in order to verify if their quality fits the desired features and, if necessary, to obtain the image correction parameters to be used at the ground processing center. Nevertheless, it is often useful to have tools to evaluate image quality also at the final user level. Image quality is defined by some parameters, such as the radiometric resolution and its accuracy, represented by the noise level, and the geometric resolution and sharpness, described by the Modulation Transfer Function (MTF). This paper proposes a procedure to evaluate these image quality parameters; the procedure was implemented in a suitable software and tested on high resolution imagery acquired by the QuickBird, WorldView-1 and Cartosat-1 satellites.
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spelling pubmed-32971292012-03-12 A Procedure for High Resolution Satellite Imagery Quality Assessment Crespi, Mattia De Vendictis, Laura Sensors (Basel) Article Data products generated from High Resolution Satellite Imagery (HRSI) are routinely evaluated during the so-called in-orbit test period, in order to verify if their quality fits the desired features and, if necessary, to obtain the image correction parameters to be used at the ground processing center. Nevertheless, it is often useful to have tools to evaluate image quality also at the final user level. Image quality is defined by some parameters, such as the radiometric resolution and its accuracy, represented by the noise level, and the geometric resolution and sharpness, described by the Modulation Transfer Function (MTF). This paper proposes a procedure to evaluate these image quality parameters; the procedure was implemented in a suitable software and tested on high resolution imagery acquired by the QuickBird, WorldView-1 and Cartosat-1 satellites. Molecular Diversity Preservation International (MDPI) 2009-05-05 /pmc/articles/PMC3297129/ /pubmed/22412312 http://dx.doi.org/10.3390/s90503289 Text en © 2009 by the authors; licensee Molecular Diversity Preservation International, Basel, Switzerland. https://creativecommons.org/licenses/by/3.0/This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/ (https://creativecommons.org/licenses/by/3.0/) ).
spellingShingle Article
Crespi, Mattia
De Vendictis, Laura
A Procedure for High Resolution Satellite Imagery Quality Assessment
title A Procedure for High Resolution Satellite Imagery Quality Assessment
title_full A Procedure for High Resolution Satellite Imagery Quality Assessment
title_fullStr A Procedure for High Resolution Satellite Imagery Quality Assessment
title_full_unstemmed A Procedure for High Resolution Satellite Imagery Quality Assessment
title_short A Procedure for High Resolution Satellite Imagery Quality Assessment
title_sort procedure for high resolution satellite imagery quality assessment
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3297129/
https://www.ncbi.nlm.nih.gov/pubmed/22412312
http://dx.doi.org/10.3390/s90503289
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