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Multispectral and Hyperspectral Image Fusion Method Based on Coupled Tensor Decomposition

A hyperspectral image and multi-spectral image technology, applied in image enhancement, image analysis, graphic image conversion and other directions, can solve the problem of easy to produce space effect, and achieve the goal of overcoming poor retention performance, reducing impact, and stable fusion results. Effect

Active Publication Date: 2020-08-07
XIANYANG NORMAL UNIV
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Problems solved by technology

This type of method greatly reduces the spectral distortion of the fused image, but is prone to spatial effects

Method used

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  • Multispectral and Hyperspectral Image Fusion Method Based on Coupled Tensor Decomposition
  • Multispectral and Hyperspectral Image Fusion Method Based on Coupled Tensor Decomposition
  • Multispectral and Hyperspectral Image Fusion Method Based on Coupled Tensor Decomposition

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specific Embodiment approach

[0038] refer to figure 1 , the specific embodiment of the present invention is as follows:

[0039] Step 1. Input image, matrix and regularization parameters.

[0040] (1a) Input the low spatial resolution hyperspectral image L∈R respectively h×w×B and a high spatial resolution multispectral image Y ∈ R H×W×b , h and w are the height and width of the low spatial resolution hyperspectral image, B is the band number of the low resolution hyperspectral image, H and W are the height and width of the high spatial resolution multispectral image, b is the high spatial resolution The number of bands in the multispectral image;

[0041] In the embodiment of the present invention, low spatial resolution hyperspectral and high spatial resolution multispectral images taken in the Washington area are used. The size of the low spatial resolution hyperspectral image is 64×64×191, and the high spatial resolution Panchromatic image size is 256×256×6.

[0042] (1b) input spectral degradati...

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Abstract

The invention discloses a coupling tensor decomposition-based multispectral image and hyperspectral image fusion method, and mainly aims at solving the problems of space information fuzziness and spectrum distortion in the prior art. The method comprises the following steps of: (1) respectively inputting a low-spatial resolution hyperspectral image, a high-spatial resolution multispectral image, aspectrum degradation matrix and a regular parameter; (2) carrying out spatial up-sampling on the low-spatial resolution hyperspectral image; (3) carrying out Tucker decomposition on the up-sampled low-spatial resolution hyperspectral image by utilizing a high-order singular value decomposition algorithm; (4) carrying out Tucker decomposition on the high-spatial resolution multispectral image; and(5) multiplying a factor matrix obtained in the step (3) by a core tensor obtained in the step (4) along each model so as to obtain a high-spatial resolution hyperspectral image. The method is capable of obtaining correct space and spectrum information and can be applied to the remote sensing fields such as target detection and recognition and terrain classification.

Description

technical field [0001] The invention belongs to the technical field of image processing, and further relates to a multispectral and hyperspectral image fusion method in remote sensing images, which can be used in remote sensing fields such as target detection and recognition, ground object classification, and the like. Background technique [0002] Due to the physical limitation of optical sensor imaging, remote sensing satellites usually can only obtain hyperspectral images with low spatial resolution and multispectral images with high spatial resolution. Hyperspectral images have more spectral information but lower spatial resolution; multispectral images have higher spatial resolution and more spatial information but less spectral information. In order to obtain hyperspectral images with high spatial resolution, people adopt multispectral and hyperspectral image fusion technology, respectively use the spatial details in multispectral images and the spectral information of...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/50G06T3/40
CPCG06T3/4053G06T5/50G06T2207/10036G06T2207/20221
Inventor 李红
Owner XIANYANG NORMAL UNIV
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