In order to solve the problem of the SAR image point feature extraction,this article proposes a method of SAR image point feature extraction based on MLS.Firstly,the article proposes a SAR image segmentation algorithm based on super-pixel correlation analysis.The algorithm is used to obtain segmentation result.Point multiplication is executed between the binary image and SAR image to generate the target area containing the intensity information.Then,the moving least square method is used to fit the surface based on discrete pixels in the target area.Finally,according to point feature decision rule,the method can extract multiple features of SAR image,such as its peak value,ridges,valleys,etc.Experimental results based on the data of MSTAR show the validity and accuracy of the proposed method.
SHI Xiang-bin,LIU Jin-li,ZHANG Jin-song,CHEN Run-feng
. A method of SAR image point feature extraction based on MLS[J]. Journal of Shenyang Aerospace University, 2013
, 30(3)
: 38
-43
.
DOI: 10.3969/j.issn.2095-1248.2013.03.009
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