中文摘要：

植被的高度和垂直结构剖面都是森林生物量和森林碳循环模型中的关键输入参数,极化干涉SAR的出现使定量获取植被结构参数成为可能。首先,将改进的两次拟合法估计的植被高度作为进一步反演植被垂直结构剖面的先验知识;然后,通过勒让德多项式展开以及双基线极化干涉数据提取植被的垂直结构剖面;最后,利用仿真以及真实极化干涉SAR数据进行方法验证和结果定性分析。研究表明,利用不同极化状态下的干涉相干性变化提取植被结构参数是可行且有效的。

英文摘要：

Vegetation height and vertical structural profile constitute the critical parameters for the forest biomass and carbon cycle model, and the polarimetric SAR Interferometry （PolInSAR） technique makes quantitative vegetation structural parameter inversion possible. In this paper, a dual - baseline twice - fitting method was used to extract the vegetation height and then, as prior information, a vegetation vertical structural profile was further esti- mated by expanding the polynomial of the vertical structural function. Finally, the simulated data and real data were used to validate this dual - baseline technique. The experimental results demonstrate the effectiveness and feasibility of the forest vertical structural profile inversion using interferometric coherence variation under different polarization conditions.