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

A multi-spectral image and hyper-spectral image technology, applied in the fields of multi-spectral image fusion and hyper-spectral image super-resolution reconstruction, can solve the problems of training, difficult model parameters, poor parameter matching, etc., to improve spatial resolution and suppress spectrum. Effects of distortion, high reconstruction accuracy

Active Publication Date: 2019-04-16
WUHAN UNIV
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Problems solved by technology

This makes it difficult for the model parameters under each step to be trained under a unified framework, and the parameter matching between each step is poor

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

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[0055] In order to facilitate those of ordinary skill in the art to understand and implement the present invention, the following in conjunction with figure 1 The implementation flow chart will further describe the present invention in detail. It should be understood that the implementation examples described here are only used to illustrate and explain the present invention, and are not intended to limit the present invention.

[0056] A hyperspectral and multispectral image fusion method based on a two-way dense residual network provided by the present invention, the specific steps are as follows:

[0057] Step 1, build a dense residual sub-network to extract different levels of frequency-domain texture features from the input hyperspectral image with lower spatial resolution, the dense residual connection module structure used to build the sub-network is as follows figure 2 As shown, the specific process is:

[0058] Step 1.1, set a convolutional layer to extract shallow ...

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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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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/50G06T7/40G06T3/60G06T3/40
CPCG06T3/4053G06T3/60G06T5/50G06T7/40G06T2207/20221G06T2207/20081G06T2207/10036
Inventor 易本顺邱康向勉周安安
Owner WUHAN UNIV
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