Evaluation of fusion methods for GF-6 aiming to water body observation

¹ Land Satellite Remote Sensing Application Center, Ministry of Natural Resources, Beijing, China
² National Engineering Research Center for Geographic Information System, China University of Geosciences (Wuhan), Wuhan, China
³ Geoscience Documentation Center of China Geological Survey, Beijing, China
⁴ East China Mineral Exploration and Development Bureau, Nanjing, China

^* Corresponding author: liuguo@mail.cgs.gov.cn

Abstract

Gaofen-6 (GF-6) has the advantages of wide coverage, multiple resolutions, and multiple bands, and can provide richer information for remote sensing interpretation. Image fusion method is the key process in high resolution remote sensing application. Guangdong-Hong Kong-Macao Greater Bay Area was selected as experiment area and four image fusion methods of HPF (High-Pass Fliter), NND (Nearest Neighbor Diffusion), GS (Gram-Schmidt) and Pansharp were employed to process panchromatic and multispectral imaging. In order to evaluate the result performances, firstly, four kinds of fusion results were evaluated by visual，and then established mean, standard deviation, entropy, average gradient, correlation coefficient and spectral distortion for quantitative evaluation of fusion results. The results demonstrated that The Pansharp algorithm and the GS algorithm have the best comprehensive evaluation of the GF-6 satellite fusion effect, taking into account the color effect of the image and the enhancement of spatial details, which can meet most fusion requirements. For land-based fusion areas, the Pansharp fusion method can be selected, and the GS fusion method can better reflect the water body information and is the most suitable fusion method for GF-6 satellite water body information enhancement among the four algorithms.