双阈值CFAR SAR目标分割方法  

Double CFAR Segmentation of Target in SAR Images

作　　者：成功[1] 赵巍[1] 毛士艺[1] 

机构地区：[1]北京航空航天大学电子信息工程学院,北京100083

出　　处：《信号处理》2007年第1期10-14,共5页Journal of Signal Processing

摘　　要：由于存在乘性斑点噪声,给SAR图像分割造成很大困难。本文研究了融入SAR图像散射中心的统计信息于目标分割。采用K-S统计分布拟合检验方法证明了图像中目标峰值和背景杂波峰值分别服从瑞利分布和高斯分布。提出了一种双阈值CFAR目标分割算法,试验结果证明：本文所提算法既可以快速、精确地分割SAR目标,又有一定实用性。The multiplicative nature of the speckle noise in SAR images is a big problem in SAR image segmentation. The statistical information of scattering centers in SAR DB images is proposed to add in segmentation. A Rayleigh distribution fits target peaks and a Gauss distribution fits clutter peaks ,which is verified by K-S test. A double CFAR segmentation method for SAR targets is presented and experimental results show that the novel method is not only of efficiency and accuracy,but also of practicability.

关 键 词：斑点噪声 分割 散射中心 K.S检验 双阈值CFAR 

分 类 号：TN958[电子电信—信号与信息处理]