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GENERALIZED POLARIMETRIC MODEL-BASED DECOMPOSITIONS USING EXTENDED INCOHERENT SCATTERING MODELS

机译:基于极化模型的基于偏振模型的分解,使用扩展的不连锁散射模型

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摘要

The Freeman and Durden decomposition as original developed is based on three scattering models for volume, surface and double bounce. It is known that the decomposition produces negative scattering powers for a large number of pixels. This implies that the scattering models are inconsistent with the data. In this paper, we investigate the negative power problem and propose two algorithms to mitigate it. To achieve this, alternative scattering models have been adopted, and new families of incoherent scattering models are developed. The effectiveness of these approaches is compared using L-band E-SAR polarimetric data. It will be shown that the negative power problem can be reduced to an insignificant level.
机译:作为原始开发的弗里曼和Durden分解是基于三种散射模型,用于体积,表面和双弹跳。众所周知,分解产生大量像素的负散射功率。这意味着散射模型与数据不一致。在本文中,我们调查了负电源问题,并提出了两个算法来减轻它。为实现这一目标,已经采用了替代散射模型,开发了新的非连锁散射模型的家庭。使用L波段E-SAR偏振数据进行比较这些方法的有效性。将表明,负电源问题可以减少到微不足道的水平。

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