A hyperspectral and multispectral image fusion method based on a two-way dense residual network

Abstract

The invention discloses a hyperspectral image and multispectral image fusion method based on a two-way dense residual network. A hyperspectral image with low spatial resolution and a hyperspectral image with high spatial resolution in the same scene are fused to reconstruct a super-resolution hyperspectral image. Frequency domain and spatial texture information in hyperspectral and multispectral images can be more fully utilized through the double-path dense residual network, the spatial resolution is improved, meanwhile, spectrum distortion is restrained, and the method can be applied to thefields of satellite remote sensing, agricultural geology general survey, medical imaging, environment monitoring and the like.

Description

technical field

[0001] The invention belongs to the technical field of image processing, and in particular relates to a hyperspectral image and a multispectral image fusion method in the same scene, which can be applied to super-resolution reconstruction of hyperspectral images. Background technique

[0002] Hyperspectral imaging can simultaneously obtain multiple images in different spectral bands in the same scene. Compared with traditional imaging methods, hyperspectral images contain rich spectral information and are widely used in satellite remote sensing, agricultural geological census, medical imaging, environmental monitoring and other fields. However, limited by imaging sensor technology, hyperspectral imaging often obtains richer spectral information at the expense of spatial resolution. Therefore, it is necessary to implement hyperspectral image super-resolution reconstruction technology by designing software algorithms. Among them, super-resolution reconstructi...

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