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Hyperspectral and Multispectral Image Fusion Method Based on Two-way Dense Residual Network

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

Active Publication Date: 2022-07-05
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

Method used

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  • Hyperspectral and Multispectral Image Fusion Method Based on Two-way Dense Residual Network
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  • Hyperspectral and Multispectral Image Fusion Method Based on Two-way Dense Residual Network

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[0055] In order to facilitate the understanding and implementation of the present invention by those of ordinary skill in the art, the following combination figure 1 The present invention is further described in detail by the implementation flow chart. It should be understood that the implementation examples described herein are only used to illustrate and explain the present invention, but not to limit the present invention.

[0056] The present invention provides a hyperspectral and multispectral image fusion method based on a dual dense residual network, the specific steps are as follows:

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

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

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Abstract

The invention discloses a hyperspectral image and multispectral image fusion method based on two-way dense residual network. By fusing a hyperspectral image with lower spatial resolution and a hyperspectral image with higher spatial resolution in the same scene image to reconstruct super-resolution hyperspectral images. The present invention can more fully utilize the frequency domain and spatial texture information in hyperspectral and multispectral images through the dual dense residual network, suppress spectral distortion while improving spatial resolution, and can be used for satellite remote sensing, agricultural geological census, medical imaging, environmental monitoring and other fields.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a method for fusion of hyperspectral images and multispectral images in the same scene, which can be applied to hyperspectral image super-resolution reconstruction. Background technique [0002] Hyperspectral imaging can simultaneously obtain multiple images in different spectral band ranges 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 censuses, medical imaging, environmental monitoring and other fields. However, due to the limitation of imaging sensor technology, obtaining richer spectral information in hyperspectral imaging often comes at the expense of spatial resolution. Therefore, it is necessary to realize hyperspectral image super-resolution reconstruction technology by designing software algorithms. Among t...

Claims

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Application Information

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Patent Type & Authority Patents(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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