A Fast Algorithm Based on Two-Stage CFAR for Detecting Ships in SAR Images
Ship detection is an important application of SAR imagery in ocean surveillance. After analyzing the statistical characters of sea clutter,a fast algorithm of ship detection in SAR image is proposed in this paper. The method consists of two CFAR detection stages. The first step utilizes a lognormal based CFAR to sort out the potential target pixels at a high false alarm rate;in the second step,these potential targets are refined under a local process of K distribution based adaptive CFAR detection.Space-born SAR images are used to validate this fast detection algorithm,and results show great improvement on efficiency of the proposed method without decreasing detection performance. The fast algorithm satisfies application demands of ship detection in SAR images.
Synthetic Aperture Radar Ship Detection Constant False Alarm Rate(CFAR) Fast Algorithm
X.W.Xing Z.L.Chen H.X.Zou S.L.Zhou
School of Electronic Science and Engineering,National University of Defense Technology,Changsha 4100 School of Aeronautical Engineering of Navy,Yantai 264001,China
国际会议
2009 2nd Asian-Pacific Conference on Synthetic Aperture Radar(第二届亚太合成孔径雷达会议)
西安
英文
506-509
2009-10-26（万方平台首次上网日期，不代表论文的发表时间）