2026-10-23T19:51:49Zhttps://gumushane-rdlopen.rawdatalibrary.net/oai/requestoai:gumushane-rdlopen.rawdatalibrary.net:gumushane/148402026-10-22T11:37:30Zopenairedrivercom_gumushane_10000col_gumushane_10001com_gumushane_10007col_gumushane_10171QUALITY ASSESSMENT of PANSHARPENED RASAT and LANDSAT-8 IMAGES USING SYNTHETIC SENTINEL-2 PANCHROMATIC IMAGEGunen, M.A.Karas, I.R.Ben Ahmed, M.Boudhir, A.A.Ane, B.K.BRISQUE.Landsat-8NIQEPansharpeningRASATSentinel-2Technical and physical limitations often do not allow images to be acquired with high spatial and spectral resolution. Pansharpened images obtained by fusing high spatial resolution panchromatic images and multi-spectral images are widely used in GIS applications. In this study, it is aimed to increase the spatial resolution of the RASAT and Landsat-8 multispectral satellite images with synthetic Sentinel-2 panchromatic data. Six different pansharpening methods were used to test the success of the synthetic panchromatic data generation method using dataset with two different land use/land cover properties. Seven full reference image quality assessment metrics and two referenceless image quality assessment metrics were used to perform quantitative comparison.International Society for Photogrammetry and Remote Sensing2021Conference Objecthttps://rdlopen.rawdatalibrary.net/r/gumushane/14840https://doi.org/10.5194/isprs-archives-xlvi-4-w5-2021-231-20211682-1750enInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archivesinfo:eu-repo/semantics/openAccessinfo:eu-repo/semantics/conferenceObjecthttps://gumushane-rdlopen.rawdatalibrary.net/tr/items/gumushane/14840