QUALITY ASSESSMENT OF PANSHARPENED RASAT AND LANDSAT-8 IMAGES USING SYNTHETIC SENTINEL-2 PANCHROMATIC IMAGE
- 1Erciyes University, Department of Geomatics Engineering, Faculty of Engineering, Kayseri, Turkey
- 2Gümüshane University, Department of Geomatics Engineering, Faculty of Engineering and Natural Sciences, Gümüşhane, Turkey
Keywords: Pansharpening, Sentinel-2, RASAT, Landsat-8, NIQE, BRISQUE
Abstract. Technical 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.