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Hyperspectral image rapid filtering method based on three-dimensional Gabor filter

A hyperspectral image and filter technology, which can be used in instruments, character and pattern recognition, scene recognition, etc., can solve problems such as low computing efficiency, and achieve the effect of fast feature extraction and good real-time performance.

Inactive Publication Date: 2018-06-22
SOUTH CHINA UNIV OF TECH
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Problems solved by technology

[0004] Although the hyperspectral image feature extraction method based on the standard 3D Gabor filter can extract the information of the image in each frequency band, so that the constructed features have good discriminant separability, but the calculation efficiency is very low.

Method used

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  • Hyperspectral image rapid filtering method based on three-dimensional Gabor filter
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  • Hyperspectral image rapid filtering method based on three-dimensional Gabor filter

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Embodiment

[0049] Such as figure 1 As shown, a hyperspectral image fast filtering method based on a three-dimensional Gabor filter includes the following steps:

[0050] Step 1: Obtain a three-dimensional hyperspectral image cube H(m,n,b), where m and n represent the spatial pixel position, and b represents the spectral band position;

[0051] Step 2: preprocess the original hyperspectral image data, and delete the spectral bands with high noise level in the hyperspectral image;

[0052] Step 3: Construct a standard three-dimensional Gabor filter under different frequency amplitudes, different frequency directions, and different scale parameters. The function of the filter is expressed as follows:

[0053]

[0054] where the subscript σ m , σ n , σ b Respectively represent the scales in the direction of space dimension m and n and the direction of spectrum dimension b; F represents the frequency amplitude, θ, Indicates the direction of the frequency in the three-dimensional spac...

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Abstract

The invention discloses a hyperspectral image rapid filtering method based on a three-dimensional Gabor filter. The method includes the following steps: obtaining a three-dimensional hyperspectral image cube, and building a three-dimensional Gabor filter with different frequency amplitude, and different frequency methods and scale parameters after preprocessing; determining an optimal scale parameter of the three-dimensional Gabor filter through a cross verification method, then decomposing an imaginary part and a real part of the filter into a linear combination of one-dimensional low-order filter products, further obtaining characteristic cubes of the real part and the imaginary part, then determining modulus values, merging into a module value characteristic cube, connecting and mergingamplitude characteristic cubes with different frequency, amplitude and orientation parameters, obtaining characteristics for classification, and finally verifying classification accuracy.

Description

technical field [0001] The invention relates to the technical field of high-dimensional image processing, in particular to a hyperspectral image fast filtering method based on a three-dimensional Gabor filter. Background technique [0002] Hyperspectral imaging is a frontier field of image information acquisition and processing technology and remote sensing imaging technology. The acquired images contain rich spatial information and spectral information of the observed objects, and the spectral resolution has reached the order of nanometers. The hyperspectral image classification technology uses the hyperspectral image of "map-integration" to realize the classification of observation scenes, which can be used to detect and identify the types of ground objects that are difficult to detect by traditional panchromatic and multi-spectral remote sensing image processing. Hyperspectral image classification technology has been widely used in marine detection, environmental detectio...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06K9/00
CPCG06V20/194G06V20/13G06F18/213
Inventor 贺霖余龙李小薪
Owner SOUTH CHINA UNIV OF TECH
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