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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Main Authors: Mattia Crespi, Laura De Vendictis
Format: Article
Language:English
Published: MDPI AG 2009-05-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/9/5/3289/
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author Mattia Crespi
Laura De Vendictis
author_facet Mattia Crespi
Laura De Vendictis
author_sort Mattia Crespi
collection DOAJ
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 doaj.art-2c8c3343398947fb9a4fd8ee6119d97d2022-12-22T02:20:44ZengMDPI AGSensors1424-82202009-05-01953289331310.3390/s90503289A Procedure for High Resolution Satellite Imagery Quality AssessmentMattia CrespiLaura De VendictisData 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.http://www.mdpi.com/1424-8220/9/5/3289/High Resolution Satellite Imagery qualityradiometric analysisnoiseModulation Transfer Functionactual resolution
spellingShingle Mattia Crespi
Laura De Vendictis
A Procedure for High Resolution Satellite Imagery Quality Assessment
Sensors
High Resolution Satellite Imagery quality
radiometric analysis
noise
Modulation Transfer Function
actual resolution
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 High Resolution Satellite Imagery quality
radiometric analysis
noise
Modulation Transfer Function
actual resolution
url http://www.mdpi.com/1424-8220/9/5/3289/
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