Active Contour Method for Hyperspectral Remote Sensing Image Segmentation Constrained by Spectral Angle

A technology of hyperspectral remote sensing and active contour, which is applied in the field of active contour segmentation of hyperspectral remote sensing images to achieve the effects of fast running speed, improved segmentation accuracy, and good area segmentation ability.

Inactive Publication Date: 2018-11-06
LIAONING NORMAL UNIVERSITY
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Problems solved by technology

However, so far, there has been no report on an improved method based on the C-V model combined with the design of the hyperspectral remote sensing image itself.

Method used

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  • Active Contour Method for Hyperspectral Remote Sensing Image Segmentation Constrained by Spectral Angle
  • Active Contour Method for Hyperspectral Remote Sensing Image Segmentation Constrained by Spectral Angle
  • Active Contour Method for Hyperspectral Remote Sensing Image Segmentation Constrained by Spectral Angle

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Embodiment Construction

[0027] A hyperspectral remote sensing image segmentation active contour method constrained by spectral angles is carried out as follows:

[0028] Step 1. Perform atmospheric, radiometric and geometric corrections on hyperspectral images, remove bands with excessive noise, and improve the overall reliability of hyperspectral image information;

[0029] Step 2. Select a pixel in the target area of ​​the hyperspectral remote sensing image as the reference point of the target object, and other pixels are regarded as the background object;

[0030] Step 3. Calculate the spectral angles of the target and background objects in all bands:

[0031]

[0032] in, X Indicates the reflectivity of the background object pixel in a certain band, Y is the reflectivity of the target surface object pixel in a certain band;

[0033] Step 4. Sort the average spectral angles of the target and background objects in each band, and use the band corresponding to the largest spectral angle as the ...

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Abstract

The invention discloses a hyperspectral remote-sensing-image active contour segmentation method based on a spectral angle constraint. A spectral angle is used to measure a spectral similarity among index measurement pixels. According to a class separability principle, an optimal wave band suitable for being segmented is selected. And then, a hyperspectral remote-sensing-image active contour segmentation model based on a spectral angle constraint function is designed. A segmentation method which is applied to a two-dimensional image is expanded to and applied to a multidimensional hyperspectral remote sensing image. In the invention, the model can comprehensively use space information and spectrum information of the hyperspectral remote sensing image during a segmentation process; and influences of insufficient spatial resolution, a fuzzy target edge, a heterogeneous area and the like on a segmentation result are reduced.

Description

technical field [0001] The invention relates to the field of image processing, in particular to a method for segmenting active contours of hyperspectral remote sensing images constrained by spectral angles. Background technique [0002] In recent years, remote sensing image segmentation has been paid attention to as a key issue in remote sensing image analysis and understanding, region of interest detection, and object recognition. Many effective remote sensing image segmentation methods have emerged, such as principal component analysis, histogram, and Gaussian mixture model. , fast independent component analysis, spectral angle mapping models based on kernel methods, etc. In addition, some traditional image segmentation models such as support vector machines, Markov chains and neural networks have also achieved good segmentation results in remote sensing image segmentation. [0003] Different from traditional remote sensing images, hyperspectral remote sensing images incl...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/149
CPCG06T2207/10032
Inventor 王相海陶兢喆周夏李智
Owner LIAONING NORMAL UNIVERSITY
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