Tree Parameters Extraction VIA Ground-based Linear Array SAR 3-D Imaging

Mou Wang, Shunjun Wei, Min Yan, Xiaoling Zhang, Jun Shi
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Abstract

This paper addresses an approach to tree parameters extraction by applying ground-based linear array synthetic aperture radar (GB-LASAR) 3-D imaging. For the purpose of tree parameters estimation, an imaging methods joint back-projection algorithm and compressed sensing sparse recovery algorithm are used for GB-LASAR 3-D image formation firstly. Tree parameters including the height and the DBH (Diameter at breast height) are extracted from the 3-D SAR image via the Graham algorithm and the statistical analysis method. And the performances on focusing and tree parameters estimation of the two approaches are discussed. In the end, the effectiveness of the approaches and the estimated tree parameters have been validated against the GB-LASAR experimental data
基于地面线阵SAR三维成像的树木参数提取
本文研究了一种基于地面线阵合成孔径雷达(GB-LASAR)三维成像的树木参数提取方法。以树参数估计为目的,首先采用一种联合反投影算法和压缩感知稀疏恢复算法的成像方法对GB-LASAR三维图像进行生成。利用Graham算法和统计分析方法从三维SAR图像中提取树木的高度和胸径(DBH)等参数。讨论了两种方法在聚焦和树参数估计方面的性能。最后,通过GB-LASAR实验数据验证了方法的有效性和树参数的估计
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