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Beyond TomoSAR vertical reflectivity profiles in forest scenarios: Ground polarimetric covariance estimation at multiple frequencies

机译:森林场景中超出TomoSAR垂直反射率剖面的情况:多个频率下的地面极化协方差估计

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The purpose of this paper is to investigate how SAR Tomography (TomoSAR) can be used to estimate ground polarimetric covariances in forest scenarios in order to increase the amount of information that can be extracted from SAR data stacks is beyond the vertical reflectivity profiles. Under the hypothesis of a two-layer model composed by ground and volume contributions, an algorithm is proposed that makes use of an a priori knowledge of the ground height. The performance in the estimation of the ground polarimetry is investigated with respect to frequency and accuracy of the ground height estimated from the TomoSAR stack. This analysis is carried out by processing an L- and a P-band TomoSAR data stacks acquired by the DLR's E-SAR sensor over the temperate forest of Traunstein.
机译:本文的目的是研究如何在森林场景中使用SAR层析成像(TomoSAR)来估计地面极化协方差,从而增加从SAR数据堆栈中提取的信息量,而不仅仅是垂直反射率剖面图。在由地面和体积贡献组成的两层模型的假设下,提出了一种利用地面高度的先验知识的算法。针对从TomoSAR堆栈估算的地面高度的频率和精度,研究了地面极化率估算的性能。这种分析是通过在特劳恩施泰因温带森林上处理由DLR的E-SAR传感器获得的L波段和P波段TomoSAR数据堆栈来进行的。

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