Feature extraction method suitable for hyperspectral image
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A feature extraction, hyperspectral technology, applied in instrument, character and pattern recognition, scene recognition and other directions, can solve the problems of inaccurate spectral image recognition and classification, and achieve the effect of improving accuracy and accuracy
Pending Publication Date: 2021-02-23
GUANGDONG POWER GRID CORP ZHAOQING POWER SUPPLY BUREAU
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[0003] Chinese patent CN110929643A discloses a hyperspectral anomaly detection method based on multi-features and isolated trees. Although conventional detection can be performed, there is still the problem of inaccurate spectral image recognition and classification
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Embodiment 1
[0053]Such asfigure 1 As shown, a feature extraction method suitable for high spectrum images, including the following steps:
[0054]S1: Prerequisites the collected high spectroscopy, obtain the data set;
[0055]It will be described herein that the pretreatment includes the following steps:
[0056]Re-arrange each scan line in the high-spectral image according to the texture information, and complete the geometric correction;
[0057]The reflection information is separated from the atmosphere and the sun, and the atmospheric radiation correction is completed.
[0058]Specifically, it is necessary to perform a reduction and decrease, including the following steps:
[0059]The high-conduct spectrum image is filtered by the high-pass filter, and the noise covariance matrix CN is obtained, and its diagonalization is a matrix DN, and the expression formula is as follows:
[0060]DN= UTCNU
[0061]Among them, DN is a diagonal matrix in which the eigenvalues of CN are arranged in descending order, and U is an...
Embodiment 2
[0090]Such asfigure 2Shown is the second embodiment of the present invention. This embodiment is different from the first embodiment in that it provides a verification of a feature extraction method suitable for hyperspectral images, including the following steps:
[0091]In order to better verify and explain the technical effects used in the method of the present invention, this embodiment chooses to compare the traditional spectral image processing method with the method of the present invention for a comparative test, and compare the test results by means of scientific demonstration to verify the advantages of the present invention. The real effect.
[0092]The traditional spectral image processing method cannot completely extract the required features, which will be interfered by the natural environment, thereby reducing the accuracy of feature extraction. In order to verify that the method of the present invention has a higher comprehensiveness and accuracy of feature extraction comp...
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Abstract
The invention relates to the technical field of hyperspectral image feature extraction, in particular to a feature extraction method suitable for a hyperspectral image, which comprises the following steps: S1, preprocessing an acquired hyperspectral image to obtain a data set; S2, constructing a feature extraction model based on a least square support vector machine principle, and performing feature extraction on the data set; and S3, respectively obtaining spectral characteristics and spatial information in the data set. According to the feature extraction method suitable for the hyperspectral image, the hyperspectral image is preprocessed, the feature data to be extracted is preliminarily determined, secondary extraction is performed by using the constructed feature extraction model, andthree times of judgment and verification are performed in combination with the Bayesian strategy so as to ensure that the extracted features are obvious and unique identification points of the hyperspectral image; therefore, the accuracy of feature extraction is improved, the accuracy of spectral image recognition and analysis is also improved, and positive significance is brought to further research of spectral images.
Description
Technical field[0001]The present invention relates to the field of high-spectral imaging features, and more particularly to a feature extraction method suitable for high spectroscopy images.Background technique[0002]Today, a series of high-spectral imaging systems have been successfully developed internationally, but there is still a lot of problems in practical use.[0003]China Patent CN110929643A discloses a high spectral abnormality detection method based on multi-characteristic and isolate trees, although conventional detection, there is still a problem that the spectrum image recognition classification is inaccurate.Inventive content[0004]In order to solve the problems existing in the prior art, the present invention provides a feature extraction method suitable for high spectroscopy images, and also improves the accuracy of the spectrum image identification analysis while increasing the extraction accuracy of the feature.[0005]In order to solve the above technical problems, the...
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