摘要
自动目标识别算法通常利用目标和杂波之间的灰度差异 ,而扩展分形则同时利用了目标的灰度和形态两种特征。本文中 ,我们将扩展分形用于极化雷达图像目标检测 ,根据极化雷达图像的特性以及极化不变量的概念 ,提出了两种目标检测算法。随后的实验结果表明这两种算法都是可行和有效的。
Automatic target recognition often utilizes the cont ra st between the target and surrounding clutter, but extended fractal utilizes not only the contrast but also shape of target. In this paper, we adopt extended fr actal to target detection of polarization radar. Based on characteristics of pol arization radar and concept of polarimetric invariant, we present two kinds of a lgorithm for target detection. The test results show they are feasible and effic ient.
出处
《雷达科学与技术》
2004年第4期201-205,共5页
Radar Science and Technology