Feature extraction method suitable for hyperspectral image

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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Problems solved by technology

[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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