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Hyperspectral target detection method based on combination of sparse expression and discriminant analysis

A discriminant analysis and target detection technology, applied in the field of remote sensing information processing, can solve the problems of low recognition rate and few target samples, and achieve the effect of solving interference, improving detection ability, and improving target detection rate.

Active Publication Date: 2017-09-26
XI'AN INST OF OPTICS & FINE MECHANICS - CHINESE ACAD OF SCI
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Problems solved by technology

[0005] In order to solve the problem of the lack of target samples in the target training data of the prior art and the background samples in the background training data containing the target, and overcome the problem of low recognition rate of the existing method, the present invention proposes a high-quality method based on the combination of sparse expression and discriminant analysis Spectral Target Detection Method

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  • Hyperspectral target detection method based on combination of sparse expression and discriminant analysis
  • Hyperspectral target detection method based on combination of sparse expression and discriminant analysis

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[0044] In order to illustrate the technical solutions implemented by the present invention more clearly, the steps for realizing the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0045] refer to figure 1 , the steps that the present invention realizes are as follows:

[0046] Step 1: Divide the image to be detected into a target training set and a background training set through pre-detection.

[0047] The similarity is calculated by the following formula

[0048]

[0049] Among them, x and y respectively represent the target spectrum and the pixel to be detected, and B is the number of bands. Arrange the calculated similarity matrix of all pixels to be detected in descending order, take the pixels corresponding to the last 5% of the similarity matrix to construct the target training set, and construct the background training set with the remaining 95%.

[0050] Step 2, build a discriminative dictionary.

[...

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Abstract

The invention discloses a hyperspectral target detection method based on combination of sparse expression and discriminant analysis. The method comprises the steps as follows: (1) a to-be-detected picture is pre-detected; (2) a background sample set and an initial dictionary are constructed according to a pre-detection result; (3) the background sample set is purified by the aid of reconstruction errors and discrimination information, target samples are rejected, and the purified dictionary is constructed; (4) a sparse coefficient is obtained with a Lasso method on the basis of the purified dictionary with the discrimination information; (5) the experimental result is counted and the target detection precision of a hyperspectral image is calculated. Compared with an existing method, the hyperspectral target detection method has the advantages that only background samples are used during construction of the dictionary, and the problem of imbalance of target samples and background samples for dictionary learning due to few target samples is solved; during construction of the dictionary and formulation of judgment rules, distance-based discrimination information is used. With the adoption of the method, the discrimination information is fully fused into the dictionary learning method, and the detection efficiency is improved.

Description

technical field [0001] The invention belongs to the technical field of remote sensing information processing, and in particular relates to a hyperspectral target detection method, which can be used in the fields of vegetation and ecological research, identification of geological rocks and mines, quantitative detection of ocean water color, military and urban planning, and the like. Background technique [0002] With the rapid development of information technology and space technology, hyperspectral remote sensing images have great advantages in the field of target detection due to their "image-spectrum integration" characteristics. Therefore, hyperspectral target detection systems have been used in vegetation and ecological research, geological It is widely used in the identification of rock ore, quantitative detection of ocean water color, military and urban planning and other fields. Hyperspectral image target detection can be divided into anomaly detection and spectral ma...

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Application Information

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IPC IPC(8): G06K9/00G06K9/46G06K9/62
CPCG06V20/13G06V10/443G06V10/513G06F18/28G06F18/214
Inventor 卢孝强李学龙张无瑕
Owner XI'AN INST OF OPTICS & FINE MECHANICS - CHINESE ACAD OF SCI
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