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测绘学报  2013 

基于全极化SAR数据去方位向模糊的舰船目标检测方法

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Keywords: 方位向模糊噪声,舰船检测,全极化,H-A-Alpha分解,子孔径分解,2D-CCF

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Abstract:

在SAR成像过程中,利用目标相对于雷达运动的多普勒频率进行方位向压缩来提高方位向分辨率。对于海面舰船目标,往往由于SAR发射的脉冲重复频率过低,回波信号的多普勒频率欠采样,引起高亮度的方位向模糊噪声,产生虚假目标。若直接利用传统CFAR、子孔径相干等目标检测算法,会把方位向模糊引起的虚假目标误判为舰船目标,降低了舰船目标的检测精度。针对SAR影像方位向模糊现象,本文提出了一种基于全极化SAR数据的舰船目标检测算法,其利用H-A-Alpha分解得到的第三散射机制,结合方位向全极化子孔径相干,消除了方位向模糊噪声对舰船目标检测的影响,提高了舰船目标的目标杂波比。通过采用日本玉野Kojimawan港口附近的C波段AIRSAR全极化数据进行实验,验证了该算法能消除SAR方位向模糊,降低虚警率,提高舰船目标的检测精度。

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