Standardizing quality assessment of fused remotely sensed images

Autor(en): Pohl, C.
Moellmann, J.
Fries, K.
Herausgeber: Yang, B.
Lindenbergh, R.
Rocca, F.
Du, S.
Lin, X.
Qiao, G.
Heipke, C.
Gui, Z.
Delavar, M.R.
Zhao, L.
Li, D.
Wu, H.
Wu, L.
Li, S.
Diaz-Vilarino, L.
Balz, T.
Kang, C.
Cheng, X.
Weinmann, M.
Shi, W.
Sorgel, U.
Zhang, J.
Li, X.
Gong, J.
Li, R.
Boehm, J.
Kang, Z.
Lu, B.
Qin, K.
Yao, W.
Khoshelham, K.
Peter, M.
Abdulmuttalib, H.
Osmanoglu, B.
Rutzinger, M.
Li, P.
Chen, C.
Stichwörter: Image fusion; Image processing; Network protocols; Protocol; Qualitative and quantitative assessments; Quality; Quality control; Quality indices; Quantitative assessments; Remote sensing; Remote sensing satellites; Standards; Standards, Image fusion techniques; Temporal resolution images; Visual interpretation; Visual quality assessment, Image quality
Erscheinungsdatum: 2017
Herausgeber: International Society for Photogrammetry and Remote Sensing
Journal: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
Volumen: 42
Ausgabe: 2W7
Startseite: 863
Seitenende: 869
Zusammenfassung: 
The 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.
Beschreibung: 
Conference of ISPRS Geospatial Week 2017 ; Conference Date: 18 September 2017 Through 22 September 2017; Conference Code:130587
ISSN: 16821750
DOI: 10.5194/isprs-archives-XLII-2-W7-863-2017
Externe URL: https://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

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