FY-3D/MERSI-II Meteorological Satellite Image Fusion Method and its Application

In order to solve the problem that the spatial resolution of some channels of the FY-3D satellite medium-resolution spectral imager (MERSI-II) is not high enough, 19 channel images with a spatial resolution of 1000 meters are merged and enhanced. Based on the geometric correction of the original data, the Gram-Schimidt Transform remote sensing fusion algorithm is selected, and the panchromatic image extracted from the MERSI-II 250-meter spatial resolution image is used. Then selected the WMO “natural color” synthesis scheme is to display RGB three-color synthesis on the fused image. The result of FY-3D satellite image data fusion shows that the fused image has clear colors, which not only retains the multi-spectral characteristics of 1000-meter channel data, but also has the high-resolution advantage of 250-meter channel data. The comparison experiment found that compared with the original image, the fused image has greatly improved the ability to recognize the topography of rivers, lakes, land and sea boundaries, and mountain range trends. And the ability to recognize snow, vegetation cover, and structural features of cloud has also been significantly enhanced. The fusion algorithm can greatly improve the remote sensing fine analysis capability of FY-3D / MERSI - II images in the fields of disaster prevention and mitigation and ecological civilization construction.