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机构地区:[1]国防科技大学电子科学与工程学院,湖南长沙410073
出 处:《国防科技大学学报》2008年第5期68-72,共5页Journal of National University of Defense Technology
基 金:全国优秀博士学位论文专项资金资助项目(08100101);新世纪优秀人才计划项目资助(NCET-04-0997)
摘 要:由于极化SAR人造目标电磁散射的复杂性,已有极化SAR人造目标提取方法难以完整地提取出感兴趣区域内不同类型的目标。针对这一不足,提出一种基于散射机理分类与方位对称性判决的提取新方法,充分利用目标与杂波在散射机理类型及方位对称性上的差异进行提取。与已有方法相比,该方法对极化SAR图像中不同极化特征的人造目标都有较好的提取性能,提取结果更为完整和准确。利用全极化SAR实测数据验证了本方法的有效性和优良性能。Owing to the complexity of the electromagnetic scattering characteristics of man-made targets, it is difficult for traditional extraction methods to discriminate all potential targets from polarimetric synthetic aperture radar (POLSAR) images. To overcome this shortcoming, a novel scheme based on scattering mechanism identification and azimuthal symmetry decision is proposed in this paper. The novel scheme is implemented based on the difference between man-made target, and natural clutter on scattering mechanism type and the property of azimuthal symmetry. Compared with traditional methods, our scheme has the advantage of obtaining a mere successful result, and targets exhibiting different types of palarimetric characteristics can all be well extracted. The validity of the novel scheme is verified by fully polarimetric SAR data.
分 类 号:TN957[电子电信—信号与信息处理]
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