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首页> 外文期刊>IEEE Transactions on Geoscience and Remote Sensing. >Pine Forest Height Inversion Using Single-Pass X-Band PolInSAR Data
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Pine Forest Height Inversion Using Single-Pass X-Band PolInSAR Data

机译:使用单程X波段PolInSAR数据进行松林高度反演

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A sparse pine forest is investigated at X-band on a single-pass polarimetric synthetic aperture radar interferometry (PolInSAR) data set using HH and HV channels. These first preliminary results show that the associated phase centers present a significant vertical separation (about 6 m) allowed by penetration through gaps in the canopy. Forest parameter inversion using the random volume over ground (RVoG) model is evaluated and adapted at this frequency. The forest height can be retrieved accurately by supposing a high mean extinction coefficient (around 1.6 dB/m). The penetration depth is estimated to be around 4 m, based on the forest height ground measurements. Finally, a time–frequency analysis using a sublook decomposition is performed to increase the vertical separation of the polarimetric phase centers. As a consequence, RVoG-inversion performance is improved, and a penetration depth that is in better accordance with a previous work (of the order of 2 m) is found. This paper has shown that the height inversion of a pine forest was possible using PolInSAR X-band data and that the performance was more dependent on the forest density than at lower frequencies.
机译:在X波段上,使用HH和HV通道在单通偏振合成孔径雷达干涉测量(PolInSAR)数据集上研究了稀疏的松树林。这些最初的初步结果表明,相关的相中心呈现出明显的垂直间距(约6 m),这是通过穿过树冠间隙的允许。使用地面随机体积(RVoG)模型对森林参数反演进行评估并在此频率下进行调整。通过假设较高的平均消光系数(约1.6 dB / m),可以准确地获取森林高度。根据森林高度地面测量值,穿透深度估计为4 m左右。最后,使用子视分解进行时频分析,以增加偏振相位中心的垂直间隔。结果,提高了RVoG反演性能,并且发现了更好地符合先前工作(2m量级)的穿透深度。本文表明,使用PolInSAR X波段数据可以进行松树林的高度反演,并且其性能更依赖于森林密度而不是较低频率。

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