| 基于灰度相关性的SAR图像联合CFAR舰船检测算法 |
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| 引用本文： | 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,2014,12(2):149-155. |
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| 作者姓名： | 艾加秋 |
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| 作者单位： | 中国电子科技集团公司第三十八研究所,安徽合肥230088 |
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| 摘 要： | 分析了中高分辨率SAR海洋图像的目标和海杂波特点,利用了SAR海洋图像中舰船目标的灰度相关性、形状特性以及舰船目标与背景杂波的信杂比特性,提出了一种基于灰度相关性的联合CFAR舰船检测算法。算法综合利用了舰船目标内部相邻像素间的灰度强相关性和舰船目标和海杂波的信杂比,建立了海杂波区域内相邻像素间灰度值的二维对数正态分布来实现联合CFAR检测。该算法能够改善斑点噪声和背景局部不均匀对检测带来的虚警,检测效果相比于传统检测算法更加优越。
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| 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 |
A New CFAR Ship Detection Algorithm Based on Gray Intensity Correlation in SAR Images |
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| AI Jia qiu.A New CFAR Ship Detection Algorithm Based on Gray Intensity Correlation in SAR Images[J].Radar Science and Technology,2014,12(2):149-155. |
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| Authors: | AI Jia qiu |
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| Affiliation: | AI Jia qiu (No. 38 Research Institute of CETC, Hefei 230088, China) |
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| 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. |
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| Keywords: | synthetic aperture radar（SAR） ship detection 2D joint log-normal distribution constant false alarm rate（CFAR） gray correlation |
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