Multispectral image and full-color image fusion method based on dual sparse non-negative matrix factorization

Abstract

The present invention discloses a multispectral image and full-color image fusion method based on dual sparse non-negative matrix factorization and mainly solves the problems that space information is fuzzy and a spectrum is distorted in the prior art. The multispectral image and full-color image fusion method comprises the steps of: (1) respectively inputting a multispectral image with a low spatial resolution ratio, a full-color image with a high spatial resolution ratio, a spectrum degenerate matrix and a spatial degenerate matrix; (2) respectively carrying out partitioned column vectorization on the multispectral image with the low spatial resolution ratio and the full-color image with the high spatial resolution ratio; (3) carrying out dual sparse non-negative matrix factorization on the images subjected to column vectorization so as to obtain a dictionary with a high spatial resolution ratio and a coefficient matrix with spectral information; and (4) multiplying the dictionary with the high spatial resolution ratio by the coefficient matrix with the spectral information so as to obtain the multispectral image with the high spatial resolution ratio, which is subjected to column vectorization, and restoring the multispectral image with the high spatial resolution ratio, which is subjected to column vectorization, into the multispectral image with the high spatial resolution ratio. According to the multispectral image and full-color image fusion method disclosed by the present invention, the accurate space information and the accurate spectral information can be obtained; and the multispectral image and full-color image fusion method can be used for the fields of remote sensing of object identification, terrain classification, environmental monitoring and the like.

Description

technical field [0001] The invention belongs to the technical field of image processing, and further relates to an image fusion method in remote sensing images, which can be used in remote sensing fields such as target recognition, ground object classification and environmental monitoring. Background technique [0002] Due to the physical limitation of optical sensor imaging, remote sensing satellites usually can only obtain multispectral images with low spatial resolution and panchromatic images with high spatial resolution. Multispectral images have rich spectral information, but low spatial resolution; panchromatic images have high spatial resolution, rich spatial information, but less spectral information. In order to obtain multispectral images with high spatial resolution, people use image fusion technology to comprehensively utilize the spatial information of panchromatic images and the spectral information of multispectral images, and finally obtain more accurate and...

AI Technical Summary

Problems solved by technology

Although this method can better improve the spatial resolution of hyperspectral images, it is mainly aimed at the fusion of hyperspectral images and visible light images, and cannot achieve the fusion of multispectral images and panchromatic images. The fusion of spectral image and panchromatic image will produce serious spectral distortion

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