Hyperspectral image fusion method based on end member extraction and spectrum unmixing

A hyperspectral image and endmember extraction technology, applied in image enhancement, image data processing, instruments, etc., can solve problems such as spectral distortion, affecting the usability of fusion results, and achieve the effect of good spectral fidelity

Active Publication Date: 2016-01-20
HARBIN ENG UNIV
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Problems solved by technology

[0006] The purpose of the present invention is to propose a new hyperspectral image fusion method based on endmember extraction and spectral unmixing in view of the shortcomings of traditional algorithms that have serious spectral distortion and affect the usability of fusion results

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  • Hyperspectral image fusion method based on end member extraction and spectrum unmixing
  • Hyperspectral image fusion method based on end member extraction and spectrum unmixing
  • Hyperspectral image fusion method based on end member extraction and spectrum unmixing

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[0036] The present invention will be further described below in conjunction with accompanying drawing:

[0037] The hyperspectral image fusion technology based on endmember extraction and unmixing includes the following steps:

[0038] Step (1): Perform endmember extraction on the hyperspectral image with low spatial resolution to obtain endmembers in the hyperspectral image, which can be used to linearly represent the rest of the pixels in the hyperspectral image.

[0039] Step (2): Use the extracted endmembers to perform spectral unmixing on each pixel of the hyperspectral image, and obtain the abundance value of each endmember spectrum in each pixel;

[0040] Step (3): According to the unmixed abundance value of each hyperspectral pixel, perform cluster analysis on the region pixels corresponding to the pixel in the high spatial resolution multispectral image, and obtain the abundance category to which each pixel belongs , that is, the endmember category.

[0041] Step (4...

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Abstract

The invention belongs to the field of hyperspectral image fusion processing and specially relates to a hyperspectral image fusion method for hyperspectral image fusion and spatial resolution enhancement based on end member extraction and spectrum unmixing. The method comprises the steps of: using an N-FINDR algorithm to carry out end member extraction; using a spectrum unmixing technology to obtain an abundance value of each end member in each pixel; using an abundance matrix A as prior knowledge, carrying out classified marking on pixels of a plurality of spectral images by means of a fuzzy C mean value clustering algorithm, and then carrying out fused image reconstruction according to marking results and end member spectrums; obtaining classifying results, assigning end member spectrums to each pixel of a hyperspectral image according to marked categories, and obtaining a reconstructed fused hyperspectral image. According to the invention, the end member extraction technology is used for extracting and reserving end member spectrum information, no coefficient conversion steps are introduced in the whole fusion process, so that spectrum distortion is avoided; in addition, compared with an existing hyperspectral image fusion method, the hyperspectral image fusion method provided by the invention is better in spectrum fidelity.

Description

technical field [0001] The invention belongs to the field of hyperspectral image processing, in particular to a hyperspectral image fusion method based on endmember extraction and spectral unmixing for hyperspectral image fusion and spatial resolution enhancement. Background technique [0002] Hyperspectral images are widely used because of their extremely high spectral resolution, which is helpful for object recognition and analysis. However, limited by the current technical level, the spectral resolution and spatial resolution of hyperspectral imagers are an irreconcilable contradiction. The price of extremely high spectral resolution of hyperspectral images is lower spatial resolution. Therefore, through image Fusion technology is particularly important to improve the spatial resolution of hyperspectral images. [0003] At the present stage, hyperspectral image fusion algorithms at home and abroad still stay in the expansion and improvement of traditional multispectral i...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/50
Inventor 赵春晖郭蕴霆
Owner HARBIN ENG UNIV
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