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

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...

AI Technical Summary

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 selection criterion in the article "Selection Criteria for Hierarchical Scene Matching Areas". "area" uses an expert system to select the scene matching area, but these methods do not consider the correlation between parameters

In addition, these matching area selection rules are aimed at matching downward-looking visible light scenes, and the application effect on SAR images is not satisfactory.

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