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首页> 外文期刊>Geoscience and Remote Sensing, IEEE Transactions on >Detecting Depolarized Targets Using a New Geometrical Perturbation Filter
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Detecting Depolarized Targets Using a New Geometrical Perturbation Filter

机译：使用新的几何微扰滤波器检测去极化目标

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摘要

Target detectors using polarimetry are often focused on single targets, since these can be characterized in a simpler and deterministic way. The algorithm proposed in this paper is aimed at the more difficult problem of partial-target detection (i.e., targets with arbitrary degree of polarization). The authors have already proposed a single-target detector employing filters based on a geometrical perturbation. In order to enhance the algorithm to the detection of partial targets, a new vector formalism is introduced. The latter is similar to the one exploited for single targets but suitable for complete characterization of partial targets. A new feature vector is generated starting from the covariance matrix and exploited for the perturbation method. Validation against L-band fully polarimetric airborne E-SAR and ALOS PALSAR data and X-band dual-polarimetric TerraSAR-X data is provided with significant agreement with the expected results. Additionally, a comparison with the supervised Wishart classifier is presented revealing improvements.
机译：使用极化分析的目标检测器通常集中在单个目标上，因为可以用更简单和确定性的方式对其进行表征。本文提出的算法针对部分目标检测（即具有任意偏振度的目标）中比较困难的问题。作者已经提出了一种采用基于几何扰动的滤波器的单目标检测器。为了增强该算法来检测部分目标，引入了一种新的矢量形式主义。后者类似于针对单个靶标的靶标，但适用于部分靶标的完整表征。从协方差矩阵开始生成一个新的特征向量，并将其用于摄动方法。针对L波段全极化机载E-SAR和ALOS PALSAR数据以及X波段双极化TerraSAR-X数据进行的验证与预期结果非常一致。此外，还与监督的Wishart分类器进行了比较，揭示了改进之处。

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