Method for fusing multi-scale spectrum projection remote sensing images

Abstract

The invention relates to a method for fusing multi-scale spectrum projection remote sensing images. The method comprises the following steps of: performing accurate space aligning on the original panchromatic image and the original multispectral image; generating a Gauss image cube consisting of the original multispectral image of each waveband with a low space resolution and the original panchromatic image with a high space resolution by introducing an improved Gauss scale space theory; extracting the spectral characteristics of the multispectral image of each waveband and the panchromatic image by using the laminar image of the Gauss image cube; and projecting the spectral characteristics onto the original panchromatic image according to a weighted fusion strategy to obtain a fused multispectral image having the high space resolution and a high spectral resolution. The method has the advantages of increasing the space resolution of the image, keeping the spectral information of the original multispectral image to the maximum extent, acquiring a better balance between the space resolution and the spectral resolution and obtaining the fused image with higher quality and practical value.

Description

technical field [0001] The invention belongs to the technical field of remote sensing image processing data fusion, and relates to a multi-scale spectral projection remote sensing image fusion method. Background technique [0002] Multispectral sensors can obtain multispectral images with high spectral resolution but low spatial resolution, while panchromatic band sensors can acquire panchromatic images with high spatial resolution, but lack spectral information. Therefore, how to integrate multispectral images with rich spectral information? It is fused with panchromatic band images with high spatial resolution, so that the fused image can keep the spectral information of the original multispectral image and the spatial detail information of the original panchromatic image as much as possible. One of the research hotspots. Traditional remote sensing image fusion algorithms such as HIS transform and PCA transform can obtain fused images with higher spatial quality when perf...

AI Technical Summary

Problems solved by technology

The IHS transformation algorithm is simple and can obtain high spatial resolution, but it can only be applied to three bands, and it is powerless for multi-band images, and the chromaticity changes due to the difference between the panchromatic image and the brightness image will cause serious problems. spectral distortion of

PCA transformation can fuse any multi-band image, but it will lose the original physical characteristics of the fused image, and the fusion effect depends on the correlation between the replaced two principal components.

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