Method for selecting SAR (spaceborne synthetic aperture radar) scene matching area on basis of SVM (support vector machine)

A support vector machine and scene matching technology, applied in computer parts, instruments, computing and other directions, can solve the problems of weak anti-interference, no consideration of parameter correlation, poor adaptability of scene matching area selection criteria, etc., to achieve computing speed The effect of fast, large adaptability and anti-interference

Active Publication Date: 2011-05-25
HUAZHONG UNIV OF SCI & TECH
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Problems solved by technology

Most of these methods study the influence of a single factor on the test index, and fix other factors that affect the test index, resulting in poor adaptability of the scene matching area selection criteria and weak anti-interference
Some of the latest studies have begun to consider the comprehensive influence of multiple factors. Jiang Biaochu proposed a coarse-to-fine hierarchical selecti

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  • Method for selecting SAR (spaceborne synthetic aperture radar) scene matching area on basis of SVM (support vector machine)
  • Method for selecting SAR (spaceborne synthetic aperture radar) scene matching area on basis of SVM (support vector machine)
  • Method for selecting SAR (spaceborne synthetic aperture radar) scene matching area on basis of SVM (support vector machine)

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[0020] The present invention realizes the selection of the scene matching area under the condition of spaceborne SAR imaging, and the flow chart of the specific implementation process is as follows: figure 1 shown:

[0021] (1) Feature extraction process

[0022] (1.1) Taking 64 pixels as the step, the reference image of spaceborne SAR imaging with a size of 2000*2000 pixels from left to right and from top to bottom is as follows figure 2 A sub-region of 128*128 is intercepted from the original reference grayscale SAR image F1 shown;

[0023] (1.2) Perform line feature extraction and regional feature extraction on the intercepted sub-regions to obtain a line feature image F2 and a regional feature map, that is, a ternary map F3 of strong and weak target regions;

[0024] (1.2.1) Regional feature extraction is a strong and weak scattering region segmentation method based on CFAR (Constant False Alarm Rate). The specific steps are as follows:

[0025] P1: Statistical graysca...

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Abstract

The invention discloses a method for selecting an SAR (spaceborne synthetic aperture radar) scene matching area on the basis of an SVM (support vector machine), which is combined with SAR imaging characteristics, adopts nonlinear transformation to convert the partition problem of a sample characteristic space into the linear classification problem of a high dimensional characteristic space by selecting suitable multidimensional characteristic parameters which represent image information and utilizes linear combination of limited support vector points to establish a classification decision function and select the scene matching area. The method considers the relation between various characteristic values of a reference image and correct selection of the matching area. A test result shows that the method has high computing speed and higher adaptability and an anti-interference performance and can carry out correct decision guide on selection of a matching subarea of a complex SAR reference image.

Description

technical field [0001] The invention belongs to the field of radar image processing, in particular to a matching area selection technology based on spaceborne synthetic aperture radar (SAR) images, in particular to a SAR scene matching area selection method based on a support vector machine. Background technique [0002] Scene matching refers to an important image analysis technique to determine an image region from the corresponding scene regions captured by different sensors at different times and from different perspectives, or to find the corresponding relationship between them. It has important applications in navigation, target tracking, resource analysis and environmental research. Scene matching area selection is the key technology of scene matching. It is a method to evaluate and analyze the matching positioning performance of a specified scene area, so as to determine whether the area can be used as a suitable scene matching area. [0003] So far, there is no matu...

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Application Information

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IPC IPC(8): G06K9/62G06K9/46
Inventor 杨卫东黄伟麟殷凯朱鹏孔德煜邹腊梅
Owner HUAZHONG UNIV OF SCI & TECH
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