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Analysis and selection of pan-sharpening assessment measures

Makarau, Aliaksei and Palubinskas, Gintautas and Reinartz, Peter (2012) Analysis and selection of pan-sharpening assessment measures. Journal of Applied Remote Sensing, 6 (1), pp. 1-20. Society of Photo-optical Instrumentation Engineers (SPIE). DOI: 10.1117/1.JRS.6.063548 ISSN 1931-3195

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Official URL: http://spie.org/x3636.xml

Abstract

Pan-sharpening of remote sensing multispectral imagery directly influences the accuracy of interpretation, classification, and other data mining methods. Different tasks of multispectral image analysis and processing require specific properties of input pan-sharpened multispectral data such as spectral and spatial consistency, complexity of the pan-sharpening method, and other properties. The quality of a pan-sharpened image is assessed using quantitative measures. Generally, the quantitative measures for pan-sharpening assessment are taken from other topics of image processing (e.g. image similarity indexes) but the applicability basis of these measures (i.e. whether a measure provides correct and undistorted assessment of pan-sharpened imagery) is not checked and proven. For example, should (or should not) a quantitative measure be used for pan-sharpening assessment is still an open research topic. Also there is a chance that some measures can provide distorted results of the quality assessment and the suitability of these quantitative measures as well as the application for pan-sharpened imagery assessment is under the question. The aim of this paper is to perform statistical analysis of widely employed measures for remote sensing imagery pan-sharpening assessment and to show which of the measures are the most suitable for use. To find and prove which measures are the most suitable, sets of multispectral images are processed by the General Fusion Framework method (GFF) with varying parameters. The GFF is a kind of the General Image Fusion method. Variation of the method parameter set values allows to produce imagery data with predefined quality (i.e. spatial and spectral consistency) for further statistical analysis of the assessment measures. The use of several main multispectral sensors (Landsat 7 ETM+, IKONOS, and WorldView-2) imagery allows to assess and compare available quality assessment measures and illustrate which of them are most suitable for each satellite. Experimental analysis illustrates adequate assessment decisions produced by the selected measures for the results of representative pan-sharpening methods.

Item URL in elib:https://elib.dlr.de/76289/
Document Type:Article
Title:Analysis and selection of pan-sharpening assessment measures
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Makarau, AliakseiIMF-PBUNSPECIFIED
Palubinskas, GintautasIMF-PBUNSPECIFIED
Reinartz, PeterIMF-PBUNSPECIFIED
Date:July 2012
Journal or Publication Title:Journal of Applied Remote Sensing
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:6
DOI :10.1117/1.JRS.6.063548
Page Range:pp. 1-20
Publisher:Society of Photo-optical Instrumentation Engineers (SPIE)
ISSN:1931-3195
Status:Published
Keywords:Pan-sharpening, quality assessment, multispectral image, multiresolution, spectral consistency, spatial consistency, phase congruency
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben hochauflösende Fernerkundungsverfahren
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited By: Makarau, Aliaksei
Deposited On:10 Jul 2012 07:35
Last Modified:31 Jul 2019 19:36

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