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SAR image super-pixel segmentation method based on likelihood ratio features

A super-pixel segmentation and super-pixel technology, applied in the field of image processing, can solve problems such as the degradation of segmentation performance

Active Publication Date: 2015-06-03
XIDIAN UNIV
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Problems solved by technology

However, for SAR images of complex scenes, the segmentation performance of the algorithm decreases

Method used

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  • SAR image super-pixel segmentation method based on likelihood ratio features
  • SAR image super-pixel segmentation method based on likelihood ratio features
  • SAR image super-pixel segmentation method based on likelihood ratio features

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Embodiment Construction

[0051] The implementation steps and effects of the present invention will be further described below in conjunction with the accompanying drawings.

[0052] refer to figure 1 , the present invention is based on the SAR image superpixel segmentation method of likelihood ratio feature, and its realization steps are as follows:

[0053] Step 1, initialize the cluster center:

[0054] 1a) Input the original SAR image and divide it into n S×S rectangular blocks T 1 , T 2 ,... T n , and take the rectangular block T 1 , T 2 ,... T n The geometric center of c 1 ,c 2 ,... c n As the initial clustering center, where S is the side length of the set rectangular block, n=MN / S 2 , M, N are the number of rows and columns of the SAR image respectively.

[0055] 1b) will initialize the cluster center c 1 ,c 2 ,... c n They are labeled 1,2,...,n respectively.

[0056] Step 2, divide superpixels:

[0057] 2a) For the i-th pixel of the original SAR image, it will be the cluster ce...

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Abstract

The invention discloses an SAR (Synthetic Aperture Radar) image super-pixel segmentation method based on likelihood ratio features and mainly solves the problem of inaccurate segmentation results of an existing SAR image super-pixel segmentation method. The SAR image super-pixel segmentation method comprises the following realization steps: (1) inputting an original SAR image, and initializing and labeling a clustering center; (2) clustering and labeling each pixel point; (3) generating alternative super pixels on a whole SAR image; (4) removing the invalid super pixels of which the number of pixel points is smaller than a threshold value in the alternative super pixels; (5) generating super pixels on the whole SAR image; (6) calculating the clustering center of each super pixel again; (7) repeating the steps (2)-(6) till the iterative times reaches a set value so as to obtain a labeled image. According to the SAR image super-pixel segmentation method, boundaries in different areas can be effectively kept, and the segmentation results are more accurate. The SAR image super-pixel segmentation method can be used for SAR target detection, recognition and classification.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a SAR image superpixel segmentation method, which can be used for SAR target detection, recognition and classification. Background technique [0002] Synthetic Aperture Radar (SAR) is an active sensor that uses microwaves for perception. It is not limited by weather, light and other conditions. It can conduct all-weather and all-weather reconnaissance on targets of interest. important means. Therefore, the processing and recognition of SAR images has become a research hotspot in the field of radar. [0003] At present, the processing of SAR images is mostly based on pixels, and a SAR image is represented by a two-dimensional matrix without considering the spatial organization relationship between pixels, which makes the processing efficiency of the algorithm too low. Superpixels refer to image blocks composed of adjacent pixels with similar texture, brightn...

Claims

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Application Information

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IPC IPC(8): G06K9/62
Inventor 王英华余文毅刘宏伟魏明月董永飞王正珏
Owner XIDIAN UNIV
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