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Gaofen-6 (GF-6) has the advantages of wide coverage, multiple resolutions, and multiple bands. Image fusion method is the key process in high resolution remote sensing application. Beijing Daxing International Airport was selected as the experiment area and four image fusion methods of HPF, NND, Gram-Schmidt and Pansharp were employed to process panchromatic and multispectral imaging. The results demonstrated that Pansharp was the best algorithm for image information and spectral fidelity of GF-6, taking into account the preservation of color effects of images and enhancement of spatial details, which can meet most fusion needs. HPF’s color retention is not as good as Pansharp algorithm. The contrast of the NND algorithm result is relatively high, which may cause the local image to be too bright and the texture to be lost. The GS algorithm has lower information entropy and average gradient. Compared with the other three algorithms, it has a worse effect on spatial details and texture expression. This conclusion can provide key reference for scientific research and engineering application using GF-6 satellite image

Research on fusion of GF-6 imagery and quality evaluation