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Object Recognition Method Based on Hyperspectral Image Unmixing

A technology for hyperspectral image and feature recognition, applied in character and pattern recognition, instruments, computer parts, etc., can solve problems such as poor unmixing effect and low accuracy of feature recognition, and achieve improved accuracy, high precision, and high ground The effect of object recognition accuracy

Active Publication Date: 2018-04-17
XIDIAN UNIV
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Problems solved by technology

Because this method does not fully consider the characteristics of hyperspectral images, the unmixing effect is poor, resulting in low accuracy of object recognition

Method used

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  • Object Recognition Method Based on Hyperspectral Image Unmixing
  • Object Recognition Method Based on Hyperspectral Image Unmixing
  • Object Recognition Method Based on Hyperspectral Image Unmixing

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Embodiment Construction

[0031] refer to figure 1 , the specific implementation steps of the present invention are as follows:

[0032] Step 1: Input a hyperspectral image, construct a data matrix, and obtain the real object category matrix, real endmember matrix and real abundance matrix of the hyperspectral image.

[0033] 1.1) Input such as figure 2 As shown in the hyperspectral image, the size of the image is 145×145, and there are 16 types of ground objects. Each mixed pixel in the image can be regarded as a spectral vector composed of spectral information of 200 spectral segments;

[0034] 1.2) The hyperspectral image X∈R M×N×L Mixing pixels in X ij ∈ R 1×L Arranged in columns to form a data matrix Z∈R L×B , where M and N are the rows and columns of the two-dimensional image, i and j are the abscissa and ordinate of the two-dimensional image, respectively, L is the number of spectral segments, P is the number of object categories, and B is the mixed pixel in the hyperspectral image The to...

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Abstract

The invention discloses a ground feature recognition method based on hyperspectral image unmixing, which mainly solves the problem of inaccurate judgment of the feature category to which mixed pixel points belong in the existing method. The implementation steps are as follows: input a hyperspectral image, arrange the mixed pixels in the hyperspectral image into a matrix by columns to form a data matrix; use the manifold constraints of the data matrix, the sparse constraints of the abundance matrix and the endmembers Constraints formed by matrix smoothing constraints are added to the objective function of the NMF algorithm to form a new objective function; the new objective function is optimized and unmixed to obtain the endmember matrix and abundance matrix after unmixing the hyperspectral image ; According to the endmember matrix and abundance matrix after unmixing, judge the object category of all mixed pixels in the hyperspectral image. The invention can improve the accuracy of the endmember value and the abundance value obtained by unmixing, thereby improving the accuracy of the hyperspectral image ground object recognition, and can be used for target tracking.

Description

technical field [0001] The invention belongs to the technical field of remote sensing image processing, and relates to a ground feature recognition method based on hyperspectral image unmixing. The method can be used in the analysis of hyperspectral images, and decomposes a mixed pixel point into endmembers and corresponding abundance values. Background technique [0002] A hyperspectral image is a three-dimensional image obtained by simultaneously imaging dozens or even hundreds of bands of the same surface area with an imaging spectrometer, and consists of two-dimensional spatial information and one-dimensional spectral information. Using these rich spectral information to subdivide and identify ground features has been widely used in many fields. Because the spectral resolution of the spectral sensor of the hyperspectral image is high, there are many spectral segments formed, but the energy received by each spectral segment is small, so the ground area for receiving the s...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/66
Inventor 杨淑媛焦李成黄春海马晶晶马文萍侯彪刘芳程时倩马永刚
Owner XIDIAN UNIV
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