基于简缩极化干涉SAR数据的森林垂直参数反演

郭胜龙; 李洋; 尹嫱; 王建峰; 洪文

doi:10.11999/JEIT150394

基于简缩极化干涉SAR数据的森林垂直参数反演

doi: 10.11999/JEIT150394

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出版历程
- 收稿日期: 2015-04-08
- 修回日期: 2015-09-24
- 刊出日期: 2016-01-19

Vertical Parameters Estimation of Forest with Compact Polarimetric SAR Interferometry Data

摘要

摘要: 森林区域竖直结构参数的反演是极化干涉雷达的一个重要应用，基于RVoG模型，运用全极化干涉数据可成功获得森林区域的地形估计及树高反演。该文将基于单基线简缩极化干涉SAR(C-PolInSAR)数据对森林区域进行林下地形估计及树高反演。推导单基线简缩极化干涉相干系数及相干区域，根据相干区域进行直线拟合，提出简缩极化干涉数据下的地形相位判别准则及体散射去相干估计方法，然后完成树高反演。通过L, P波段仿真数据以及实测机载数据对上述方法进行验证，获得正确地形及树高。简缩极化发射波极化状态不唯一，因此该文详细分析不同参数的椭圆极化对地形及树高等参数估计的影响，研究表明地形树高受椭圆极化波影响较小，也验证了估计方法的稳定性。
- 合成孔径雷达 /
- 简缩极化干涉SAR /
- 地形估计 /
- 树高反演
Abstract: Vertical parameters estimation of forest is one of the most important applications in the Polarimetric Interferometric SAR (PolInSAR). On the basis of the Radom Volume over Ground (RVoG) model, the topographical phase and the tree height in forest area can be successfully estimated with the PolInSAR data. In this paper, the topographical phase and forest heights are obtained with single-baseline Compact Polarimetric Interferometric SAR (C-PolInSAR) data. This paper introduces the complex coherence coefficients and the coherence region of the single-baseline C-PolInSAR. Firstly, line-fitting technique is performed on the basis of the coherence region, then the criterion for estimating the topography, and the only volume de-correlation are proposed with the compact polarimetric SAR interferometry datasets. Finally, the topography and the forest heights are proposed. The simulated L, and P band data is used to validate the proposed method, and the topography and tree heights are obtained successfully. Since the transmit wave polarization state of the compact polarimetric system is not unique, this paper analyzes the influence of the elliptic-polarization with different elliptical parameters on the topographical phase and the forest heights. Results show that elliptic-polarization has a little impact on vertical parameters, which also validates the stability of the estimation method.
- SAR /
- Compact Polarimetric Interferometric SAR (C-PolInSAR) /
- Topography estimation /
- Forest heights estimation

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参考文献(17)

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