Hyperspectral image fusion method based on spectrum restrain

A hyperspectral image and spectrally constrained technology, applied in image enhancement, image data processing, instruments, etc., can solve problems such as unsatisfactory results

Active Publication Date: 2014-01-15
BEIHANG UNIV
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Problems solved by technology

They have been well studied in the field of multispectral image fusion, but in the field of hyperspectral image fusion, there are relatively few related studies, and most of them are directly transplanted from existing methods, because the data spectrum is generally not targeted during the transplantation process. research, the results are not very satisfactory

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  • Hyperspectral image fusion method based on spectrum restrain
  • Hyperspectral image fusion method based on spectrum restrain
  • Hyperspectral image fusion method based on spectrum restrain

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Embodiment Construction

[0055] In order to better understand the technical solution of the present invention, the embodiments of the present invention will be further described below in conjunction with the accompanying drawings:

[0056]The present invention is realized under the MATLAB7.1 language environment. The computer reads hyperspectral remote sensing image data and registered high-resolution image data, first establishes a preliminary objective function based on non-negative matrix decomposition, and then adds spectral constraints on this basis to obtain the final fusion model. The model calculates the extremum function to obtain the base image and the weight matrix. The high-resolution image is multiplied by the weighted image of the standard image and the high-resolution image. The result is the hyperspectral fusion image.

[0057] The present invention is a hyperspectral image fusion method based on spectral constraints, the process of which is shown in figure 1 As shown, the computer co...

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Abstract

The invention relates to a hyperspectral image fusion method based on spectrum restrain, which is a hyperspectral image and high spatial resolution fusion method based on a nonnegative matrix factorization method. The method comprises three steps, including step 1, a computer reads hyperspectral images under a matrix laboratory (MATLAB) 7.1 environment; step 2, a fusion model based on the nonnegative matrix factorization method is built; and step 3, extreme value functions of the fusion model are solved by using a gradient descent method, and fusion results are obtained. The hyperspectral image fusion method overcomes the shortcoming that the method in the prior art cannot be suitable to directly transplanted to hyperspectral image fusion, and is poor in spectrum retentivity, obtains good fusion results, and has wide application prospect in the technical field of the hyperspectral image fusion.

Description

(1) Technical field: [0001] The invention relates to a hyperspectral image fusion method based on spectral constraints, and belongs to the technical field of hyperspectral remote sensing image fusion. (two) background technology: [0002] Hyperspectral remote sensing is the abbreviation of Hyperspectral Remote Sensing (Hyperspectral Remote Sensing), which is the frontier of remote sensing technology. It is a comprehensive technology that uses many narrow electromagnetic wave bands to obtain relevant data from objects of interest. In the imaging process, the hyperspectral remote sensing technology uses the imaging spectrometer to image the surface objects at the same time with tens or hundreds of bands with nanometer spectral resolution, and can obtain continuous spectral information of the objects and realize the spatial information of the objects. The simultaneous acquisition of radiation information and spectral information greatly improves the reliability of ground targe...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/50
Inventor 史振威隆姣安振宇
Owner BEIHANG UNIV
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