FUSION OF TERRASAR-X AND RAPIDEYE DATA: A QUALITY ANALYSIS

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dc.contributor.authorSanli, F. Balik
dc.contributor.authorAbdikan, S.
dc.contributor.authorEsetlili, M. T.
dc.contributor.authorUstuner, M.
dc.contributor.authorSunar, F.
dc.contributor.editorSunar, F
dc.contributor.editorAltan, O
dc.contributor.editorLi, S
dc.contributor.editorSchindler, K
dc.contributor.editorJiang, J
dc.date.accessioned2019-10-27T21:55:33Z
dc.date.available2019-10-27T21:55:33Z
dc.date.issued2013
dc.departmentEge Üniversitesien_US
dc.descriptionISPRS Conference on Serving Society with Geoinformatics (SSG) -- NOV 11-17, 2013 -- Antalya, TURKEYen_US
dc.description.abstractThis research compares and evaluates image fusion algorithms to achieve spatially improved images while preserving the spectral information. In order to compare the performance of fusion techniques both active and passive images were used. As an active image a high resolution, X-band, VV polarized TerraSAR-X data and as a multispectral image RapidEye data were used. RapidEye provides five optical bands in the 400-850 nm range and it is the first space-borne sensor which operationally gathers the red edge spectrum (690-730 nm) besides the standard channels of multi-spectral satellite sensors. The selected study area is in the low lands of Menemen (Izmir) Plain on the west of Gediz Basin covering both agricultural fields and residential areas. For the quality analysis, Adjustable SAR-MS Fusion (ASMF), Ehlers fusion and High Pass Filtering (HPF) approaches were investigated. In this study preliminary results of selected image fusion methods were given. The quality of the fused images was assessed with qualitative and quantitative analyses. For the qualitative analysis visual comparison was applied using different band combinations of fused image and original multispectral Rapid-Eye image. In the merged images color distortions regarding to SAR-optical synergy were investigated. Statistical analysis was carried out as quantitative analyses. In this respect Correlation Coefficient (CC), Standard Deviation Difference (SDD), Universal Image Quality Index (UIQI) and Root Mean Square Error (RMSE) were performed for quality assessments. In general HPF was performed best while ASMF was performed the worst in all results.en_US
dc.description.sponsorshipInt Soc Photogrammetry & Remote Sensingen_US
dc.identifier.doi10.5194/isprsarchives-XL-7-W2-27-2013
dc.identifier.endpage30en_US
dc.identifier.issn2194-9034
dc.identifier.startpage27en_US
dc.identifier.urihttps://doi.org/10.5194/isprsarchives-XL-7-W2-27-2013
dc.identifier.urihttps://hdl.handle.net/11454/48240
dc.identifier.volume40-7-W2en_US
dc.identifier.wosWOS:000358223000006en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isoenen_US
dc.publisherCopernicus Gesellschaft Mbhen_US
dc.relation.ispartofIsprs2013-Ssgen_US
dc.relation.ispartofseriesInternational Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectImage fusionen_US
dc.subjectTerraSAR-Xen_US
dc.subjectRapidEyeen_US
dc.subjectMulti-sensoren_US
dc.titleFUSION OF TERRASAR-X AND RAPIDEYE DATA: A QUALITY ANALYSISen_US
dc.typeConference Objecten_US

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