Hyperspectral and multispectral image fusion method based on joint optimization, computer readable storage medium and electronic equipment

Abstract

The invention provides a hyperspectral and multispectral image fusion method based on joint optimization, a computer readable storage medium and electronic equipment, and solves the problem that the spatial resolution of a hyperspectral image is low due to the fact that an existing hyperspectral and multispectral image fusion method depends on a spatial degradation matrix. The method comprises thefollowing steps: step 1, inputting a real value; 2, preprocessing the real value to obtain an observable low-spatial-resolution hyperspectral image and an observable high-spatial-resolution multispectral image; step 3, performing spectral demixing on the image Ih and the image Im by utilizing non-negative matrix decomposition according to the linear spectral aliasing model, and performing joint optimization on the required end member matrix and the required abundance matrix to obtain an end member matrix E and an abundance matrix Ah of the image Ih and an abundance matrix A of the image Im; and step 4, estimating a high-spatial-resolution hyperspectral image, and recording the image as an image Z.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to a hyperspectral and multispectral image fusion method based on joint optimization, a computer-readable storage medium, and electronic equipment, which can be applied to fields such as environmental monitoring, target detection, target classification, and military reconnaissance . Background technique [0002] Hyperspectral imaging systems sample the electromagnetic spectrum in many continuous and very narrow spectral bands, resulting in hyperspectral images with high spectral resolution. In order to obtain more wavelength bands, the sensor has a splitting process before receiving light energy, that is, the beam splitter divides the light into many parts, then under the condition of a certain incident light energy, only a small part of the energy in each band reaches the sensor after splitting. The sensor can only respond when it receives a certain amount of ligh...

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Problems solved by technology

[0005] In order to solve the problem that existing hyperspectral and multispectral image fusion methods rely on spatial degradation matrices, resulting in low spatial resolution of hyperspectral images, the present invention proposes a hyperspectral and multispectral image fusion method based on joint optimization. Read storage media and electronic equipment, mainly used to improve the problem of low spatial resolution of hyperspectral images to improve the spatial resolution of hyperspectral images

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