基于图像欧式距离的KPCA SAR图像目标识别算法

摘要

Using KPCA for SAR image recognition, the image is firstly transformed into ID vectors, which makes structure information of 2D image lost and the dimensions of ID vectors very high. In this paper, an image Euclidean Distance KPCA method is presented, and three kernel functions based on image Euclidean Distance are also proposed. Examples of recognition MSTAR dataset are selected to demonstrate this new method. And experimental results show that the methos is effective and feasible.%针对传统KPCA方法识别SAR图像时需首先对图像进行拉直处理问题进行研究,借助于图像欧式距离,提出了一种基于图像欧式距离的核函数构建方法,给出了3种基于图像欧式距离的核函数,并将其应用SAR图像识别中.以实测MSTAR数据为例,给出了识别结果和仿真分析,结果证明了该算法能够有效克服传统KPCA方法的局限性,是一种可行的方法.