中文摘要：

针对合成孔径雷达图像点特征提取问题,提出了一种基于MLS的SAR图像点特征提取方法。首先利用提出的基于超像素关联分析的SAR图像分割算法得到二值分割图像,再把该二值图像和SAR图像进行点乘运算,获取到含有强度信息的目标区域,然后采用移动最小二乘法（MLS）对目标区域进行曲面拟合,根据设定的点特征判决规则,最后提取出SAR图像的峰值、脊和谷等多种点特征。基于MSTAR数据的实验结果表明了该方法的有效性和准确性。

英文摘要：

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.