舰船电子工程2016，Vol.36Issue(9)：27-30,88,5.DOI:10.3969/j.issn.1672-9730.2016.09.007
SAR 图像舰船目标快速检测方法研究
A Fast Algorithm for Ship Detection in SAR Images
摘要
Abstract
With the improving resolution of SAR Images ,the traditional Constant False Alarm(CFAR) algorithm is in-efficient for ship detecting .A new two-stage fast method is proposed for high resolution SAR images in this paper .In the first stage ,the improved algorithm of entropic double-thresholds proposed by Kapur ,Sahoo ,Wong(KSW) is implemented . Then the whole image is divided into three parts ,including target ,suspected target ,and background .In the next stage ,the improved two parameters CFAR algorithm is applied to the pixels in the suspected target area .Combing results of two sta-ges ,ship targets in the image are detected .According to the experiment with real SAR images ,the results show that the method proposed in this paper performs very well in ship detecting .The fast algorithm satisfies the demand of ship detection in high resolution SAR images .关键词
合成孔径雷达 SAR/舰船检测/CFAR/最大熵双阈值检测算法/快速算法Key words
SAR/ship detection/CFAR/KSW/fast algorithm分类
信息技术与安全科学引用本文复制引用
王智勇,窦浩,田金文..SAR 图像舰船目标快速检测方法研究[J].舰船电子工程,2016,36(9):27-30,88,5.基金项目
国家自然科学基金（编号61273279；61273241）资助。 （）
