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首页> 外文期刊>Geoscience and Remote Sensing Letters, IEEE >Hybrid Freeman/Eigenvalue Decomposition Method With Extended Volume Scattering Model
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Hybrid Freeman/Eigenvalue Decomposition Method With Extended Volume Scattering Model

机译：扩展体积散射模型的混合Freeman /特征值分解方法

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摘要

In this letter, an advanced version of the hybrid Freeman/eigenvalue decomposition technique for land parameter extraction is presented with an illustrative example of application. The motivation arises from decomposition problems in obtaining a meaningful volume scattering estimation, so that the technique can be used for both oriented objects and vegetation/forest areas. The idea is to improve the accuracy of the required parameter extraction. Two strategies are adopted to increase the applicability of a hybrid Freeman/eigenvalue decomposition technique: One is the unitary transformation of the coherency matrix; the other is to use an extended volume scattering model. The extension of the volume scattering model plays an essential role for the hybrid Freeman/eigenvalue decomposition technique. Since the volume scattering power is evaluated by assuming that the $HV$ component is caused by vegetation only in the existing technique, an extended volume scattering power approach is utilized. It is shown that vegetation areas and oriented objects such as urban building areas are well discriminated by the proposed technique as compared to the existing techniques.
机译：在这封信中，提出了用于土地参数提取的混合Freeman /特征值分解技术的高级版本，并带有一个应用示例。动机来自获得有意义的体积散射估计时的分解问题，因此该技术可用于定向对象和植被/森林区域。这个想法是为了提高所需参数提取的准确性。采取了两种策略来提高Freeman /特征值混合分解技术的适用性：一种是相干矩阵的the变换。另一种是使用扩展的体积散射模型。体积散射模型的扩展对于混合Freeman /特征值分解技术起着至关重要的作用。由于在现有技术中仅通过假设$ HV $分量是由植被引起的来评估体积散射功率，因此采用了扩展的体积散射功率方法。结果表明，与现有技术相比，该技术可以很好地区分植被区和定向对象，例如城市建筑区。

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