计算机工程2017，Vol.43Issue(4)：244-250,7.DOI:10.3969/j.issn.1000-3428.2017.04.042
基于异常检测与双层筛选机制的SAR图像舰船检测方法
A Method for Ship Detection in SAR Images Based onAnomaly Detection and Two-layer Censoring Mechanism
摘要
Abstract
Aiming at the problem of large censoring error of the existing intelligent detection algorithm for ship targets in SAR image,a novel method for ship detection based on Anomaly Detection(AD) and two-layer censoring algorithm is presented.The theory of anomaly detection of hyperspectral image is introduced into ship target detection in SAR imagery.The SAR image is transformed into the hyperspectral form by image conversion,and an anomaly detection is used algorithm to achieve the ship target detection preprocessing and the region of interest about ships.By two-layer censoring mechanism,accurate modeling of background clutter and ship target rapid detection are realized.Experimental results show that the algorithm can reduce the censoring error,and eliminate the number of false alarm and side-lobe effectively.Meanwhile,it can obtain higher fidelity of structure.关键词
合成孔径雷达图像/舰船检测/异常检测/双层筛选/恒虚警率Key words
Synthetic Aperture Radar(SAR) image/ship detection/Anomaly Detection(AD)/two-layer censoring/Constant False Alarm Rate(CFAR)分类
信息技术与安全科学引用本文复制引用
翟亮,李禹,粟毅..基于异常检测与双层筛选机制的SAR图像舰船检测方法[J].计算机工程,2017,43(4):244-250,7.基金项目
国家自然科学基金(61171135). （61171135）
