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PolInSAR tomography for vertical profile retrieval of forest vegetation using spaceborne SAR data

机译:利用星载SAR数据的PolInSAR层析成像技术对森林植被进行垂直剖面检索

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Forest height plays a crucial role to investigate the bio-physical parameters of forest and the terrestrial carbon. PolInSAR based inversion modeling has been successfully implemented on airborne and spaceborne SAR data. SAR tomography, which is an extension of cross-track interferometric processing is a recent approach to separate scatterers in cross range direction, thus generates its vertical profile. This study highlighted the potential of tomographic processing of fully polarimetric Radarsat-2 SAR system to retrieve backscatter power at different height levels. Eucalyptus patch of Haldwani forest division of Uttarakhand state in India was chosen as the test site. Since SAR tomography is a spectral estimation problem, Fourier transform and beamforming based spectral estimations were applied on the dataset to obtain their vertical profiles. Fourier severely suffered from high sidelobes which was drastically reduced by implementing beamforming by taking into account the multilooking effect at the expense of radiometric accuracy. Backscattered power values were found to be different at different height levels of the forest vegetation. Vertical profile for Fourier as well as beamforming were also retrieved.
机译:森林高度对调查森林和陆地碳的生物物理参数起着至关重要的作用。基于PolInSAR的反演模型已成功地应用于机载和星载SAR数据。 SAR层析成像技术是跨轨道干涉测量处理的扩展,是一种在跨范围方向上分离散射体的最新方法,因此可以产生其垂直剖面。这项研究强调了全极化Radarsat-2 SAR系统的层析成像潜力,可以获取不同高度水平的反向散射功率。试验地点为印度北阿坎德邦哈尔德瓦尼森林分区的桉树斑块。由于SAR层析成像是一个光谱估计问题,因此将基于傅立叶变换和基于波束成形的光谱估计应用于数据集以获得其垂直剖面。傅立叶严重遭受高旁瓣的影响,而旁瓣由于考虑了多视效应而以辐射精确度为代价,通过实施波束成形而大大降低了。发现在森林植被的不同高度水平,背向散射功率值不同。还获取了傅立叶的垂直轮廓以及波束成形。

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