A hyperspectral and multispectral image fusion method, system and medium

A multi-spectral image and hyperspectral image technology, which is applied in image enhancement, image analysis, image data processing, etc., can solve problems that cannot be directly applied to hyperspectral images, poor scalability of training network, and reduced fusion accuracy

Active Publication Date: 2020-09-18
HUNAN UNIV
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Problems solved by technology

This type of method mainly has the following problems: firstly, the training data of high-resolution hyperspectral images does not exist in practice, and it is necessary to simulate the construction of the data set by downsampling the hyperspectral images, and training on the data of the simulation construction will be difficult. Reduce the accuracy of fusion; the second is that the number of spectral bands of hyperspectral images of different sensors is different, resulting in poor scalability of the training network, that is, a network trained in a class of hyperspectral images cannot be directly applied to high spectral image

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  • A hyperspectral and multispectral image fusion method, system and medium
  • A hyperspectral and multispectral image fusion method, system and medium
  • A hyperspectral and multispectral image fusion method, system and medium

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Embodiment Construction

[0071] Such as figure 1 As shown, the implementation steps of the hyperspectral and multispectral image fusion method in this embodiment include:

[0072] 1) Input hyperspectral image Y and multispectral image Z;

[0073] 2) Using singular value decomposition to extract the spectral subspace S from the hyperspectral image Y;

[0074] 3) Estimate the subspace coefficient A from the multispectral image Z and the obtained spectral subspace S;

[0075] 4) The fused hyperspectral image X is obtained by multiplying the spectral subspace S and the subspace coefficient A;

[0076] The detailed steps of step 3) include:

[0077] 3.1) The number of initialization iterations k is equal to 1, the subspace coefficient A to be estimated, the introduced variable V, and the Lagrange multiplier G are all initialized to a matrix with all 0 elements, and the penalty factor is initialized mu value;

[0078] 3.2) Carry out the kth iteration, update the subspace coefficient A to be estimated ...

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Abstract

The present invention discloses a high spectrum and multi -spectrum image fusion method, system and medium. The high spectrum and multi -spectrum image fusion method of the present invention include input high -spectrum image Y and multi -spectrum image Z;Extract the spectral space S; the multi -spectrum image Z and the obtained spectrum space S estimated the sub -space coefficient A; according to the multiplier of the spectrum space S and the sub -space coefficient A obtained the fusion of the high spectrum image X.The present invention can effectively realize low -resolution high -spectrum images, high -resolution multi -spectrometry images fusion to obtain high -resolution high -spectrum images, with high reconstruction accuracy, high calculation efficiency, and strong universality and robustnessSexuality has the advantages of anti -noise interference.

Description

technical field [0001] The invention relates to hyperspectral and multispectral image fusion technology, in particular to a hyperspectral and multispectral image fusion method, system and medium based on subspace representation and deep convolutional neural network. Background technique [0002] Hyperspectral imaging technology can obtain image information of dozens or hundreds of spectral bands at the same time, and rich spectral information is helpful for accurate identification of substances in the scene. Therefore, hyperspectral imaging technology is widely used in earth observation, military monitoring, Environmental monitoring, geological exploration, medical detection and face recognition and other fields. However, due to hardware limitations, it is difficult for existing imaging systems to directly obtain high-resolution hyperspectral images. Therefore, the spatial resolution of hyperspectral images is often very low, which greatly limits the application of hyperspe...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/50G06T5/00G06N3/04
CPCG06T5/50G06T5/002G06T2207/10036G06T2207/20221G06N3/045
Inventor 李树涛佃仁伟
Owner HUNAN UNIV
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