雷达科学与技术Issue(2)：149-155,160,8.DOI:10.3969/j.issn.1672-2337.2014.02.007
基于灰度相关性的SAR图像联合CFAR舰船检测算法
A New CFAR Ship Detection Algorithm Based on Gray Intensity Correlation in SAR Images
艾加秋1
作者信息
- 1. 中国电子科技集团公司第三十八研究所，安徽合肥 230088
- 折叠
摘要
Abstract
The characteristic difference between targets and clutter is analyzed.Considering the gray in-tensity distribution of ship target,and its shape difference compared to the clutter,in this paper,a new algo-rithm is presented based on gray correlation.The algorithm utilizes the strong gray intensity correlation in the ship target.Also,the joint gray intensity distribution(JPDF)using 2D joint log-normal distribution of a pixel with neighboring pixels in the clutter is modeled,which can be used for correlation-based joint CFAR detection.Using this algorithm,the false alarms caused by speckle and local background non-homogeneity can be greatly reduced.The detection performance is much better.关键词
合成孔径雷达/舰船检测/二维对数正态分布/恒虚警/灰度相关性Key words
synthetic aperture radar(SAR)/ship detection/2D joint log-normal distribution/constant false alarm rate(CFAR)/gray correlation分类
信息技术与安全科学引用本文复制引用
艾加秋..基于灰度相关性的SAR图像联合CFAR舰船检测算法[J].雷达科学与技术,2014,(2):149-155,160,8.
