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首页> 外文期刊>The Open Statistics & Probability Journal >Analysis of Stable Targets in High-Resolution Polarimetric SAR Data Stacks
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Analysis of Stable Targets in High-Resolution Polarimetric SAR Data Stacks

机译：高分辨率极化SAR数据栈中稳定目标的分析

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Polarimetric SAR data provide information about the scattering of the area observed. The availability of data stacks allows the identification of stable targets and subsequent scattering analysis with a high degree of confidence at full resolution. A novel approach to find and evaluate polarimetric persistent target is presented, that is an extension of well-established analysis methods for single scenes. The use of the Cloude-Pottier distributed target decomposition analysis applied on the temporal averages (as opposed to spatial averaging), combined with a Cameron point target analysis applied on each layer separately to select pixels only, provides an efficient scattering classification of polarimetric persistent point targets in the stack. This method can also be used to analyze targets identified through other means, albeit at a lower degree of confidence. The approach retains the full resolution of the data set, though temporal changes between acquisitions add additional complexity. Result interpretation is therefore performed under consideration of a set of boundary conditions. Results from the analysis of two polarimetric data stacks acquired by RADARSAT-2 are shown.
机译：极化SAR数据可提供有关所观察区域散射的信息。数据堆栈的可用性允许以稳定的状态在全分辨率下识别稳定的目标并进行后续的散射分析。提出了一种寻找和评估极化持久目标的新颖方法，该方法是针对单个场景的成熟分析方法的扩展。将Cloude-Pottier分布式目标分解分析应用于时间平均值（相对于空间平均），再结合分别应用于每一层的Cameron点目标分析以仅选择像素，可以对极化持久点进行有效的散射分类堆栈中的目标。该方法也可以用于分析通过其他方式识别的目标，尽管置信度较低。尽管采集之间的时间变化增加了额外的复杂性，但是该方法保留了数据集的完整分辨率。因此，结果解释是在考虑一组边界条件的情况下进行的。显示了通过RADARSAT-2采集的两个极化数据堆栈的分析结果。

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