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.
Highlights
In recent years, China's satellite observation application system has been gradually improved, and satellite data acquisition capabilities have been greatly improved
China has formed a space-based earth observation capability with high spatial resolution, high time resolution, and high spectral resolution. It greatly meets the needs of my country's highresolution remote sensing data application
With the rapid development of high-resolution remote sensing satellites, how to make full use of the spatial and spectral information of remote sensing images has become an important issue in the processing and application of highresolution remote sensing
Summary
China's satellite observation application system has been gradually improved, and satellite data acquisition capabilities have been greatly improved. China has formed a space-based earth observation capability with high spatial resolution, high time resolution, and high spectral resolution It greatly meets the needs of my country's highresolution remote sensing data application. A variety of remote sensing image fusion algorithms have been implemented in the mainstream commercial remote sensing software They can improve the image spatial resolution better, for different sensor types, remote sensing algorithms have their own advantages and disadvantages, and there is no unified recognition fusing algorithm. The GF-6 satellite has the advantages of high resolution, wide coverage, high quality imaging, high performance imaging, and high localization rate It has been in operation for three years, and a large number of high-quality remote sensing images of Earth observation have been obtained, but there are few reports on the applicability of the GF-6 satellite panchromatic and multispectral fusion algorithm. The results can provide a reference for GF-6 satellites in the application of resource and environmental observation
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