RAYLEIGH-DISTRIBUTION BASED MINIMUM ERROR THRESHOLDING FOR SAR IMAGES  

作　　者：Xue Jinghao Zhang Yujin Lin Xinggang (Department of Electronic Engineering, Tsinghua University, Beijing 100084) 

出　　处：《Journal of Electronics(China)》1999年第4期336-342,共7页电子科学学刊（英文版）

基　　金：Supported by the National Natural Foundation of China(No.69672029 and No.69772021)

摘　　要：This paper presents a minimum error thresholding (MET) algorithm under the hypothesis that the gray level histogram of SAR image fits to a mixture model of shifted Rayleigh distribution. This algorithm is applied to real SAR images and compared with traditional Otsu algorithm and other MET algorithms based on various models of histogram. The hypothesis of using Rayleigh distribution model is confirmed by Kolmogorov-Smirnov testing and the comparison results obtained show that the proposed new algorithm has good performance in thresholding SAR images.This paper presents a minimum error thresholding (MET) algorithm under the hypothesis that the gray level histogram of SAR image fits to a mixture model of shifted Rayleigh distribution. This algorithm is applied to real SAR images and compared with traditional Otsu algorithm and other MET algorithms based on various models of histogram. The hypothesis of using Rayleigh distribution model is confirmed by Kolmogorov-Smirnov testing and the comparison results obtained show that the proposed new algorithm has good performance in thresholding SAR images.

关 键 词：SAR image RAYLEIGH DISTRIBUTION Minimum error THRESHOLDING (MET) KOLMOGOROV-SMIRNOV testing 

分 类 号：TN957.52[电子电信—信号与信息处理]