Standardizing quality assessment of fused remotely sensed images

DC ElementWertSprache
dc.contributor.authorPohl, C.
dc.contributor.authorMoellmann, J.
dc.contributor.authorFries, K.
dc.contributor.editorYang, B.
dc.contributor.editorLindenbergh, R.
dc.contributor.editorRocca, F.
dc.contributor.editorDu, S.
dc.contributor.editorLin, X.
dc.contributor.editorQiao, G.
dc.contributor.editorHeipke, C.
dc.contributor.editorGui, Z.
dc.contributor.editorDelavar, M.R.
dc.contributor.editorZhao, L.
dc.contributor.editorLi, D.
dc.contributor.editorWu, H.
dc.contributor.editorWu, L.
dc.contributor.editorLi, S.
dc.contributor.editorDiaz-Vilarino, L.
dc.contributor.editorBalz, T.
dc.contributor.editorKang, C.
dc.contributor.editorCheng, X.
dc.contributor.editorWeinmann, M.
dc.contributor.editorShi, W.
dc.contributor.editorSorgel, U.
dc.contributor.editorZhang, J.
dc.contributor.editorLi, X.
dc.contributor.editorGong, J.
dc.contributor.editorLi, R.
dc.contributor.editorBoehm, J.
dc.contributor.editorKang, Z.
dc.contributor.editorLu, B.
dc.contributor.editorQin, K.
dc.contributor.editorYao, W.
dc.contributor.editorKhoshelham, K.
dc.contributor.editorPeter, M.
dc.contributor.editorAbdulmuttalib, H.
dc.contributor.editorOsmanoglu, B.
dc.contributor.editorRutzinger, M.
dc.contributor.editorLi, P.
dc.contributor.editorChen, C.
dc.date.accessioned2021-12-23T16:34:06Z-
dc.date.available2021-12-23T16:34:06Z-
dc.date.issued2017
dc.identifier.issn16821750
dc.identifier.urihttps://osnascholar.ub.uni-osnabrueck.de/handle/unios/17996-
dc.descriptionConference of ISPRS Geospatial Week 2017 ; Conference Date: 18 September 2017 Through 22 September 2017; Conference Code:130587
dc.description.abstractThe multitude of available operational remote sensing satellites led to the development of many image fusion techniques to provide high spatial, spectral and temporal resolution images. The comparison of different techniques is necessary to obtain an optimized image for the different applications of remote sensing. There are two approaches in assessing image quality: 1. Quantitatively by visual interpretation and 2. Quantitatively using image quality indices. However an objective comparison is difficult due to the fact that a visual assessment is always subject and a quantitative assessment is done by different criteria. Depending on the criteria and indices the result varies. Therefore it is necessary to standardize both processes (qualitative and quantitative assessment) in order to allow an objective image fusion quality evaluation. Various studies have been conducted at the University of Osnabrueck (UOS) to establish a standardized process to objectively compare fused image quality. First established image fusion quality assessment protocols, i.e. Quality with No Reference (QNR) and Khan's protocol, were compared on varies fusion experiments. Second the process of visual quality assessment was structured and standardized with the aim to provide an evaluation protocol. This manuscript reports on the results of the comparison and provides recommendations for future research. © Authors 2017. CC BY 4.0 License.
dc.description.sponsorshipIII/6, Remote Sensing Data Fusion; WG III/1, Thematic Information Extraction; WG III/5, Information Extraction from LiDAR Intensity Data
dc.language.isoen
dc.publisherInternational Society for Photogrammetry and Remote Sensing
dc.relation.ispartofInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
dc.subjectImage fusion
dc.subjectImage processing
dc.subjectNetwork protocols
dc.subjectProtocol
dc.subjectQualitative and quantitative assessments
dc.subjectQuality
dc.subjectQuality control
dc.subjectQuality indices
dc.subjectQuantitative assessments
dc.subjectRemote sensing
dc.subjectRemote sensing satellites
dc.subjectStandards
dc.subjectStandards, Image fusion techniques
dc.subjectTemporal resolution images
dc.subjectVisual interpretation
dc.subjectVisual quality assessment, Image quality
dc.titleStandardizing quality assessment of fused remotely sensed images
dc.typeconference paper
dc.identifier.doi10.5194/isprs-archives-XLII-2-W7-863-2017
dc.identifier.scopus2-s2.0-85030974987
dc.identifier.urlhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85030974987&doi=10.5194%2fisprs-archives-XLII-2-W7-863-2017&partnerID=40&md5=08b2a01b51b1739570f98cc9cf853fe1
dc.description.volume42
dc.description.issue2W7
dc.description.startpage863
dc.description.endpage869
dcterms.isPartOf.abbreviationInt. Arch. Photogramm., Remote Sens. Spat. Inf. Sci. - ISPRS Arch.
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