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A Hyperspectral Image Fusion Method Based on Endmember Extraction and Spectral Unmixing

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

Active Publication Date: 2018-04-24
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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  • A Hyperspectral Image Fusion Method Based on Endmember Extraction and Spectral Unmixing
  • A Hyperspectral Image Fusion Method Based on Endmember Extraction and Spectral Unmixing
  • A Hyperspectral Image Fusion Method Based on Endmember Extraction and Spectral Unmixing

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Embodiment Construction

[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 processing, in particular to a hyperspectral image fusion method based on endmember extraction and spectral unmixing for hyperspectral image fusion and spatial resolution enhancement. The present invention includes: using N-FINDR algorithm to extract endmembers; using spectral unmixing technology to obtain the abundance value of each endmember in each pixel; using the abundance matrix A as prior knowledge, through fuzzy C-means clustering algorithm The pixels of the spectral image are classified and marked, and then the fusion image is reconstructed according to the marking result and the end member spectrum; the obtained classification result is assigned to each pixel of the hyperspectral image according to the marked category, and the reconstructed fusion image is obtained. hyperspectral imagery. Since the present invention uses endmember extraction technology to extract and retain endmember spectral information, the entire fusion process does not introduce coefficient transformation steps, so no spectral distortion is caused. Therefore, the present invention has better spectrum than the existing hyperspectral image fusion algorithm. 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 Patents(China)
IPC IPC(8): G06T5/50
Inventor 赵春晖郭蕴霆
Owner HARBIN ENG UNIV
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