雷达科学与技术Issue(2)：154-158,5.DOI:10.3969/j.issn.1672-2337.2015.02.009
基于恒虚警率的双阈值检测方法
Dual-Threshold Detection Method Based on CFAR
摘要
Abstract
The distribution of the video image background grey value of naval navigation radar is not uni-form,and the contrast ratio between the different targets at different places and the background is different. In order to meet the requirement of target detection processing efficiency,combined with the traditional threshold segmentation,this paper puts forward a dual-threshold detection method based on CFAR.The method ensures a low false alarm rate,and combines the global threshold and local threshold to achieve fast and accurate target detection of the naval navigation radar video image.The comparison is made between the proposed algorithm and the Otsu algorithm.The results show that the algorithm can improve the accuracy of target detection effectively.关键词
目标检测/恒虚警率/阈值检测/雷达视频图像Key words
target detection/constant false alarm rate(CFAR)/threshold detection/radar video image分类
信息技术与安全科学引用本文复制引用
谭洁,熊伟,周伟..基于恒虚警率的双阈值检测方法[J].雷达科学与技术,2015,(2):154-158,5.基金项目
山东省自然科学基金青年基金(No.ZR2012FQ004) （No.ZR2012FQ004）
