Investigation of pansharpening performance on Göktürk-1 satellite images

The need to supply a satellite system that will meet the image requirement in the fields of activity such as product yield detection and geographic map data has created the Göktürk-1 Satellite Project which will enable any point in the world to be obtained at any time and without being exposed to any obstacle to obtain high resolution images so as to meet the demands of military intelligence, at the same time, control of forest areas by public and private sector, follow-up non-zoning, detection of damage needed after natural disasters. Satellite images are subject to many image processing processes before they are presented to the users. The process of combining a high spatial resolution panchromatic image with a multispectral image, namely, pansharpening is an important part of these image processing steps. It is obvious that the images taken from Göktürk-1 satellite, which is the first high resolution satellite of our country, will provide great benefits in different areas according to its usage areas. In this study, different pansharpening methods have been compared, a selected sample Göktürk-1 satellite image has been pansharpened with 11 different algorithms, visiually the image that has been pansharpened by the UNB algorithm, and mathematically the image that has been pansharpened with the HCS algorithm has yielded good results.