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A Three-Layer Scattering Model of the Slope Forest Area for Polarimetric SAR Interferometry

机译:偏振SAR干涉的坡地林区三层散射模型

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Polarimetric SAR interferometry (PolInSAR) is a promising remote sensing technique for extracting forest height in which the random volume over ground (RVoG) model has been extensively applied to polarimetric interferometry SAR data for the retrieval of forest geophysical parameters. The complex interferometric coherence of the RVoG model was originally derived in a simplified way by neglecting some factors, like the terrain slope and the double bounce interaction with the stems or trunks. But in many cases, none of them should be ignored. Therefore, a slope three-layer scattering (STLS) model is proposed to correct the terrain distortion for forest parameters estimation in a sloping forest area. At the same time, this model separates the vertical structure of forest into three layers: ground, tree-trunk and the canopy layer which account for the simultaneous effects of three scattering components on complex coherence. A significant model complexity reduction is achieved by aligning the reference frame along the local terrain slope and changing the corresponding radar geometrical configuration. The STLS model provides a better understanding of microwave scattering process in the terrain slope area compared to traditional RVoG model.
机译:极化SAR干涉法(PolInSAR)是一种有前途的遥感技术,可用于提取森林高度,其中地面随机体积(RVoG)模型已广泛应用于极化干涉SAR数据,以检索森林地球物理参数。 RVoG模型的复杂干涉相干性最初是通过忽略某些因素(例如地形坡度和与茎或树干的双重反弹相互作用)而以简化方式得出的。但是在许多情况下,都不应该忽略它们。因此,提出了一种倾斜三层散射(STLS)模型来校正地形失真,以便在坡地森林地区进行森林参数估计。同时,该模型将森林的垂直结构分为三层:地面,树干和树冠层,这说明了三个散射分量对复杂连贯性的同时影响。通过沿局部地形坡度对齐参考框架并更改相应的雷达几何配置,可以显着降低模型的复杂性。与传统的RVoG模型相比,STLS模型可以更好地了解地形坡度区域中的微波散射过程。

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