Multi-spectral and panchromatic image super-resolution fusion method based on compressive sensing

Abstract

The invention discloses a multi-spectral and panchromatic image super-resolution fusion method based on compressive sensing, which comprises the following steps: 1, respectively inputting a low-resolution multi-spectral image and a high-resolution panchromatic image; 2, obtaining a high-resolution joint sampling value matrix; 3, obtaining a high-low observation matrix; 4, obtaining a high-high observation matrix; 5, obtaining a high-resolution joint observation matrix; 6, studying a high-resolution over-complete dictionary; 7, obtaining a high-resolution rarefaction coefficient; and 8, reconstructing a high-resolution multi-spectral image. According to the method provided by the invention, the compression sensing technology is introduced into the fusion field of the multi-spectral images, the defects that the color is distorted and the spectrum is contorted in the prior art are solved, and the resolution of the fused multi-spectral image is about one time of that of the high-resolution panchromatic image.

Description

technical field [0001] The invention belongs to the technical field of image processing, and further relates to a method for super-resolution fusion of multispectral and panchromatic images based on compressed sensing in the technical field of remote sensing image processing. The invention can be applied in remote sensing fields such as land utilization, city identification and forest resource investigation. The present invention fuses multi-spectral images with low spatial resolution and panchromatic images with high spatial resolution, and uses compressed sensing technology for super-resolution reconstruction to obtain a fusion image with high spatial resolution and spectral information . Background technique [0002] The fusion of multispectral images and panchromatic images refers to the comprehensive utilization of the information of the multispectral images of the same scene obtained from multispectral detectors, and the use of their temporal and spatial correlation a...

AI Technical Summary

Problems solved by technology

There are two main types of multispectral image fusion technology at present: one is IHS color transformation method, principal component analysis (PCA), etc.; the other is multi-scale transformation methods such as wavelet transform method and Laplacian pyramid decomposition. There is a common problem in the fusion of multispectral images and panchromatic images: both use the "injection" method or use resolution transformation to extract the details of panchromatic images for fusion, and use panchromatic images to simply replace the brightness of multispectral images. component or when the high-frequency component of the extracted panchromatic image is inconsistent with the high-frequency component of the brightness component of the multispectral image, serious color distortion and spectral distortion will occur; on the other hand, the spatial resolution of the fused image is limited by the fusion Resolution of pre-panchromatic image

This method can better overcome color distortion and spectral distortion, but it still has the disadvantage that the resolution of the fused multispectral image depends on the resolution of the panchromatic image before fusion, and can only get the same resolution image

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