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乘性相干斑模型
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  相似匹配句对
     Multiplicative complex noise model:parameter estimation using cumulants
     复噪声模型基于累积量的参数估计
短句来源
     model.
     模型
短句来源
     Based on the method, the texture parameters of multi-polarimetric channels are estimated simultaneously by the method of maximum likelihood under the assumption of multi-texture multiplicative speckle noise model.
     该方法在多纹理相干噪声模型的假设下,采用最大似然估计法来同时估计多个极化通道的纹理参数。
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     S. models have been found.
     S.模型
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     The model gives a very strong visual impression.
     该模型直观强.
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  multiplicative speckle model
With a multiplicative speckle model, this paper shows the multi-look polarimetric synthetic aperture radar (SAR) data obeys a generalized K-distribution.
      


With a multiplicative speckle model, the unconditional density function of the mutli-look polarimetric synthetic aperture radar (SAR) data is derived, and the result is shown to be a generalized K-distribution. The multi-look intensity K-distribution is particularly compared with histograms of physical radar measurements of several typical terrain types and several empirical distributions. The relationship between the heterogeneity coefficient of the scene texture and the proper statistical distribution model...

With a multiplicative speckle model, the unconditional density function of the mutli-look polarimetric synthetic aperture radar (SAR) data is derived, and the result is shown to be a generalized K-distribution. The multi-look intensity K-distribution is particularly compared with histograms of physical radar measurements of several typical terrain types and several empirical distributions. The relationship between the heterogeneity coefficient of the scene texture and the proper statistical distribution model is experimentally established. In addition, based on the results of the statistical analysis, an adaptive classification scheme is presented, and the improved classification shows the importance of the statistical analysis.

本文基于乘性相干斑模型,推导出多视全极化合成孔径雷达(SAR)数据的无条件分布模型—广义的K分布,将从中演绎出的单通道多视强度K分布与几种典型地表的实测数据的统计直方图和几种常用的分布模型进行比较,经验地建立了场景纹理的非均匀性与合适的统计分布模型之间的关系。此外,应用统计分析的结果,本文还提出了一个自适应的地貌类型分类方法,使分类精度得到明显提高,说明了统计分析的重要性。

Based on the multiplication speckle model, the statistical characteristics of the polarimetric signatures are analyzed, which include co-polar and cross-polar ratios and co-polar phase difference for multi-look polarimetric SAR data. With the simulated data, the effect of the estimated accuracy of the polarimetric signatures on the performance of the algorithm for suppressing the speckle is analyzed. In addition, based on the features of the polarimetric signatures, applying them on the Bayes classifier, the...

Based on the multiplication speckle model, the statistical characteristics of the polarimetric signatures are analyzed, which include co-polar and cross-polar ratios and co-polar phase difference for multi-look polarimetric SAR data. With the simulated data, the effect of the estimated accuracy of the polarimetric signatures on the performance of the algorithm for suppressing the speckle is analyzed. In addition, based on the features of the polarimetric signatures, applying them on the Bayes classifier, the accuracy of classification can be compared with the optimum polarimetric classifier.

该文基于乘性相干斑模型,对全极化合成孔径雷达多视图像的极化特征参数(同极化比、交叉极化比和同极化相位差)进行了分析,利用实际的模拟数据对特征参数的PDF进行了拟合测试,分析了多视极化特征参数的统计特性对极化相干斑抑制算法的影响。利用极化比和相位差的特点,对地物进行分类,所得分类精度与利用最优极化分类法的分类精度具有可比性。

 
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