Yamaguchi分解Notch滤波的全极化SAR图像舰船目标检测

发布时间：2018-06-23 13:00

本文选题：极化合成孔径雷达 + 舰船检测　；参考：《测绘科学技术学报》2017年01期

【摘要】：极化合成孔径雷达数据蕴含了丰富的地物极化散射信息,已广泛应用于海上舰船目标检测研究。针对极化相干矩阵无法直接用于分析特定散射体物理特性的缺陷,利用Yamaguchi极化分解改进了极化Notch滤波器。将基于模型的极化分解方法引入Notch滤波器,利用表面散射、二次散射、体散射和螺旋体散射等散射机制的能量构造散射矢量代替极化相干散射矢量,并加入功率能量因子,构造新的极化SAR图像Notch滤波器。Radarsat-2全极化SAR图像实验结果表明,改进算法有效增强了舰船目标与海杂波背景间的对比度,检测性能优越。
[Abstract]:Polarimetric synthetic Aperture Radar (ISAR) data contain abundant polarimetric scattering information and have been widely used in the research of ship target detection at sea. Because the polarimetric coherence matrix can not be directly used to analyze the physical properties of a particular scatterer, the polarimetric Notch filter is improved by Yamaguchi polarization decomposition. The model-based polarization decomposition method is introduced into Notch filter. The scattering vector is constructed by using the energy of surface scattering, secondary scattering, volume scattering and spiral scattering to replace the polarized coherent scattering vector, and the power energy factor is added. The experimental results of constructing a new polarimetric SAR image Notch filter. Radarsat-2 full polarimetric SAR image show that the improved algorithm can effectively enhance the contrast between ship target and sea clutter background and the detection performance is superior.
【作者单位】：信息工程大学;太原卫星发射中心技术部;
【基金】：国家自然科学基金项目(41301481)
【分类号】：TN957.52

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