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SAR image segmentation method based on triple discrimination random field

A technology for discriminating random fields and image segmentation, which is applied in the fields of image processing and radar image processing, and can solve problems such as image non-stationarity not considered.

Active Publication Date: 2014-07-09
XIDIAN UNIV
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However, the shortcomings of this paper are that this type of model requires training data to learn model parameters, and is limited to dealing with supervised image segmentation problems, and this type of model does not explicitly consider image non-stationarity from the perspective of spatial structure

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  • SAR image segmentation method based on triple discrimination random field
  • SAR image segmentation method based on triple discrimination random field

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[0045] The present invention will be further described below in conjunction with the accompanying drawings.

[0046] refer to figure 1 , the specific implementation steps of the present invention are as follows:

[0047] Step 1, input the SAR image to be segmented.

[0048] Step 2, feature extraction and initialization.

[0049] Extracting features is mainly to make full use of image information.

[0050] Select a sliding window with a size of 7×7, and calculate the average value h of the gray value in the sliding window in the image to be segmented 1 , variance h 2 , entropy h 3 and other image statistical features, and the semi-variance feature h 4 ,h 5 ,h 6 ,h 7 , where the semivariance feature is extracted by the following formula:

[0051]

[0052] Among them, v represents the semivariance feature of the gray value of the synthetic aperture radar SAR image to be segmented; N d (L) represents in the sliding window selected in the synthetic aperture radar SAR ...

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Abstract

The invention discloses an SAR image segmentation method based on a triple discrimination random field. The defect that in the prior art, when a TMRF model of a triple Markov random field is adopted for capturing statistical correlation of observation data, the operating distance must depend on an adopted neighbourhood system is overcome. The SAR image segmentation method includes the following steps of (1) inputting an SAR image to be segmented, (2) extracting features and initializing, (3) obtaining joint probability distribution, (4) obtaining posterior marginal probability distribution, (5) segmenting the SAR image, (6) estimating model parameters and (7) outputting the segmented image. Through introducing related information between non-stationary information and pixel point observation values of the SAR image, consistency of segmented areas is kept, and marginal accuracy of a segmentation result is improved.

Description

technical field [0001] The invention belongs to the technical field of image processing, and further relates to a SAR image segmentation method based on a triple discriminant random field in the technical field of radar image processing. The invention can be used for segmenting and processing synthetic aperture radar SAR images. Background technique [0002] Synthetic Aperture Radar (SAR) is a high-resolution imaging radar. Its use in civilian and military applications requires the support of synthetic aperture radar SAR image interpretation technology. Synthetic aperture radar SAR image segmentation is an important part of synthetic aperture radar SAR image interpretation technology, which can provide the overall structure of synthetic aperture radar SAR image information to reveal the nature of synthetic aperture radar SAR images. The random field model is considered to be a powerful tool for SAR image segmentation, and its advantage is that it can fully consider the spa...

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Application Information

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IPC IPC(8): G06T7/00G06T5/40G06T5/00
Inventor 张鹏李明安琳
Owner XIDIAN UNIV
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