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首页> 外文期刊>Geoscience and Remote Sensing, IEEE Transactions on >Combination of H-Alpha Decomposition and Migration for Enhancing Subsurface Target Classification of GPR
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Combination of H-Alpha Decomposition and Migration for Enhancing Subsurface Target Classification of GPR

机译：H-Alpha分解和迁移相结合，以增强GPR的地下目标分类

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摘要

Polarimetric technology has been one of the most important advances in microwave remote sensing during recent decades. H-alpha decomposition, which is a type of polarimetric analysis technique, has been common for terrain and land-use classification in polarimetric synthetic aperture radar. However, the technique has been less common in the ground penetrating radar (GPR) community. In this paper, we apply the H-alpha decomposition to analyze the surface GPR data to obtain polarimetric attributes for subsurface target classification. Also, by combining H-alpha decomposition and migration, we can obtain a subsurface H-alpha color-coded reconstructed target image, from which we can use both the polarimetric attributes and the geometrical features of the subsurface targets to enhance the ability of subsurface target classification of surface GPR. A 3-D full polarimetric GPR data set was acquired in a laboratory experiment, in which four targets, a scatterer with many branches, a ball, a plate, and a dihedral scatter, were buried in dry sand under flat ground surface, and used to test these techniques. As results, we obtained the subsurface H-alpha distribution and classified the subsurface targets. Also, we derived a subsurface H-alpha color-coded reconstructed target image and identified all four targets in the laboratory experiment.
机译：在最近几十年中，极化技术已成为微波遥感领域最重要的进步之一。 H-alpha分解是一种极化分析技术，在极化合成孔径雷达的地形和土地使用分类中很常见。但是，该技术在探地雷达（GPR）社区中很少见。在本文中，我们使用H-alpha分解来分析表面GPR数据以获得用于地下目标分类的极化属性。而且，通过结合H-alpha分解和迁移，我们可以获得地下H-alpha颜色编码的重建目标图像，从中我们可以使用地下目标的极化特性和几何特征来增强地下目标的能力表面GPR的分类。在实验室实验中获得了3-D全极化GPR数据集，其中将四个目标（具有多个分支的散射体，球，板和二面角散射体）埋在平坦地面下的干燥沙子中，并使用测试这些技术。结果，我们获得了地下H-alpha分布并对地下目标进行了分类。此外，我们获得了一个地下H-alpha颜色编码的重建目标图像，并在实验室实验中确定了所有四个目标。

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