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Automatic extraction method for hyperspectral remote sensing image end member beam

A hyperspectral remote sensing and automatic extraction technology, applied in the field of hyperspectral image processing, can solve problems such as spectral changes, and achieve the effect of improving decomposition accuracy

Active Publication Date: 2021-12-10
CHINA UNIV OF PETROLEUM (EAST CHINA)
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Problems solved by technology

[0005] In order to solve the above technical problems, the present invention provides a method for automatic extraction of hyperspectral remote sensing image endmember beams to solve the problem of spectral changes in hyperspectral mixed pixel decomposition

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  • Automatic extraction method for hyperspectral remote sensing image end member beam
  • Automatic extraction method for hyperspectral remote sensing image end member beam
  • Automatic extraction method for hyperspectral remote sensing image end member beam

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Embodiment Construction

[0045] In order to make the purpose, content, and advantages of the present invention clearer, the specific implementation of the present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments:

[0046] The problems to be solved in the present invention include: (1) in remote sensing images with a high degree of spectral change, extract representative pure pixels of various ground features as end members; (2) under the influence of spectral changes, extract The resulting endmembers are clustered.

[0047] refer to figure 1 , the specific implementation steps of the present invention are:

[0048] (1) Use PCA to conduct principal component analysis on the hyperspectral remote sensing image I with a size of M×N×L, and obtain the first principal component I PCA ;

[0049] Where M represents the number of rows of I, N represents the number of columns of I, and L represents the number of bands of I.

[0050] (2) Use the C...

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Abstract

The invention discloses a method for automatically extracting an end member beam of a hyperspectral remote sensing image, which relates to the technical field of hyperspectral image processing, and comprises the following basic steps of: firstly, detecting a ground feature boundary pixel of the remote sensing image, and removing the boundary pixel to reduce the probability that a mixed pixel is selected as an end member; sampling the original image on multiple scales, and reducing the spectral change of the sub-image; performing region segmentation on each sub-image, and extracting candidate end members in each region; taking the candidate end member of which the extraction frequency exceeds a threshold value as the terminal end member; and finally, clustering the end members to complete the extraction work of the end member beam. The method comprehensively considers the influence of the spectrum change on end member beam extraction, improves the end member beam extraction result by reducing the influence of the spectrum change on end member extraction and spectrum clustering, and has the advantages of being scientific, reasonable, easy to implement, high in precision and the like.

Description

technical field [0001] The invention relates to the technical field of hyperspectral image processing, relates to a hyperspectral remote sensing image endmember beam extraction method, and in particular to an automatic hyperspectral remote sensing image endmember beam extraction method based on multi-scale resampling. Background technique [0002] Due to its continuous, narrow spectral band, hyperspectral sensors can provide a large amount of spectral information for each pixel. Affected by the signal-to-noise ratio, the high spectral resolution of remote sensing images is often accompanied by low spatial resolution. When the spatial resolution of the image is low, it is impossible to guarantee that each pixel is covered by a single feature, and often a pixel contains multiple types of feature information. There are a large number of mixed pixels in the hyperspectral image, and the mixed pixel decomposition can solve the ground objects contained in each mixed pixel and the ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06T7/13G06K9/34G06K9/46G06K9/62
CPCG06T7/13G06F18/23G06F18/2135
Inventor 许明明叶传龙刘善伟
Owner CHINA UNIV OF PETROLEUM (EAST CHINA)
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