K-S distance merging cost-based SAR image partitioning method

An image segmentation and image technology, applied in the field of signal processing, can solve problems such as unsatisfactory effect and high complexity of the method, achieve satisfactory segmentation effect, improve computing speed, and improve segmentation quality

Inactive Publication Date: 2017-09-08
XIDIAN UNIV
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Problems solved by technology

These methods have their unique advantages when segmenting SAR images, but the method itself has high complexity, and in the process of region merging, especially when merging larger regions, the effect is often not ideal.

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  • K-S distance merging cost-based SAR image partitioning method
  • K-S distance merging cost-based SAR image partitioning method
  • K-S distance merging cost-based SAR image partitioning method

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Embodiment Construction

[0031] The present invention will be further described below in conjunction with accompanying drawing:

[0032] refer to figure 1 , the implementation steps of the present invention are as follows:

[0033] Step 1. Calculate the proportional edge intensity map RESM(x,y) according to the pixel values ​​of the original SAR image.

[0034] 1.1) Input the original SAR image, take all the pixels in the image as the central pixel, and calculate the θ near the central pixel f Left Rectangle Mean in Direction and the right rectangular mean

[0035]

[0036]

[0037] where N represents the total number of pixels, R i Indicates the pixel value in the left rectangular area, R j Represents the pixel value in the right rectangular area, x represents the abscissa of the pixel, y represents the ordinate of the pixel, θ f Indicates the direction angle, f represents the direction multiple;

[0038] 1.2) Use the mean value of the left rectangle and the right rectangular mean ...

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Abstract

The invention discloses a K-S distance merging cost-based SAR image partitioning method, and mainly aims to solve the problems of low partitioning speed and poor partitioning quality on an SAR image in the prior art. The technical scheme comprises the steps of 1, calculating proportional edge strength mapping RESM (x, y) according to the pixel value of an original SAR image, and performing watershed transform to obtain an initial partitioning result; 2, calculating an empirical distribution function Fn(x) of each region pixel value in the initial partitioning result; 3, calculating a K-S distance KSD (a, b) of any two adjacent regions a and b in the initial partitioning result; 4, calculating a value of a merging cost function K(a, b); and 5, determining a final image partitioning result according to the value of the merging cost function K(a, b). By virtue of the method, the SAR image partitioning quality is improved, the complexity is relatively low, the operating speed is relatively high, and the method can be used for SAR image partitioning in a complex scene.

Description

technical field [0001] The invention belongs to the technical field of signal processing, and in particular relates to a SAR image segmentation method, which can be used for SAR image segmentation in complex scenes. Background technique [0002] Synthetic aperture radar imaging systems have been widely used, such as target monitoring and identification, ocean surveillance, terrain mapping and natural disaster detection. SAR image segmentation is an important problem in SAR image information extraction and automatic understanding. It extracts the structural information of the scene by segmenting a SAR image into non-overlapping homogeneous regions. The coherent imaging principle of SAR causes a large number of randomly distributed coherent speckle noises in SAR images. These coherent speckle noises reduce the quality of SAR images and increase the difficulty of SAR image segmentation. [0003] In recent years, the importance of SAR image segmentation technology in the automa...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/11G06T7/136G06T7/187
CPCG06T7/11G06T7/136G06T7/187G06T2207/10044
Inventor 水鹏朗况伟龙樊书辰
Owner XIDIAN UNIV
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