A discriminant Gabor filtering method for hyperspectral image classification

Abstract

The invention discloses a discriminant Gabor filtering method for hyperspectral image classification, which comprises the following steps: reading hyperspectral image data and preprocessing; decomposing the standard three-dimensional Gabor filter into eight sub-filters; taking the CCS component (spatial low-pass, spectral dimension band-pass) of one of that sub-filters to construct a discriminantGabor filter; using different frequency amplitudes, different frequencies empty-spectral space direction, and discriminant Gabor filters at different scales to filter hyperspectral images respectively; taking the amplitude as the features, and obtaining the feature blocks under different parameters; connecting and merging feature blocks with different frequency parameters (frequency amplitude anddirection) at the same scale; selecting the scale parameters by a cross-validation method, and obtaining the optimal scale parameters, and using the features under the optimal scale parameters as thefinal discriminant Gabor features; finally, using a support vector machine classifier or least square classifier to classify the discriminant Gabor features of hyperspectral images. The method effectively improves the classification accuracy of the hyperspectral image.

Description

technical field [0001] The invention relates to the technical field of high-dimensional image processing, in particular to a discriminative Gabor filtering method for hyperspectral image classification. Background technique [0002] Hyperspectral remote sensing technology is a frontier field of remote sensing technology. The acquired landmark images contain rich spatial information and spectral information, and the spectral resolution has reached the order of nanometers. Hyperspectral imaging and classification technology can achieve more accurate classification after obtaining "map-integrated" observation information, and can be used to detect and identify ground object categories that are difficult to detect with traditional panchromatic and multi-spectral remote sensing technologies. Hyperspectral image classification technology has been widely used in marine detection, environmental detection, urban planning, agricultural development, military target monitoring and other...

AI Technical Summary

Problems solved by technology

[0004] The standard 3D Gabor filter can be used to extract more effective hyperspectral image features, but the filtering process does not take advantage of the inherent characteristics of hyperspectral image data

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