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基于去取向理论的全极化SAR图像非监督分类 被引量：2

Unsupervised Classification of Fully Polarimetric SAR Image Based on Deorientation Theory
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摘要 由于复杂地表目标的取向往往是随机分布的,产生散射回波的随机起伏使散射目标分类不容易明确,采用常规的分类方法容易造成地表的分类混淆。文中提出了一种全极化SAR图像非监督分类方法,首先对数据进行极化去取向处理,提取极化特征参数u、v,结合极化熵参数H进行非监督分类;之后将分类结果作为改进C-均值算法的初始类别划分,基于由u/v/H3个参数组成的特征空间,采用迭代方法实现对地物的分类;最后对NASA/JPL实验室的实测数据进行了实验分析,验证了文中所提分类方法的有效性。 The randomly distributed target orientation causes confusion in classification of the polarimetric scattering target.In this paper,an unsupervised classification method of the fully polarimetric SAR image is proposed to solve this problem.Firstly,a certain angle rotation of the part along the sight line is made to minimize the cross-polarized scattering;then an initial classification using the scattering mechanism is implanted,which is described by the parameters u/v/H.Finally,using the initial classification result,the polarimetric SAR image is classified by the modified C-mean algorithm.Experiment is performed on the real measured data collected by NASA/JPL laboratory.Result shows the proposed method is efficient.
作者 郭睿 白雪茹 邢孟道
机构地区 西安电子科技大学雷达信号处理国家重点实验室
出处 《现代雷达》 CSCD 北大核心 2010年第4期35-38,共4页 Modern Radar
基金 国家自然科学基金(60890072和60725103)资助课题
关键词 极化合成孔径雷达 去取向 C-均值 非监督分类 polarimetric SAR deorientation C-mean unsupervised classification
分类号 TN958 [电子电信—信号与信息处理]
  • 相关文献

参考文献11

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共引文献9

同被引文献20

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引证文献2

现代雷达
2010年 第4期

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