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基于ESPRIT算法的极化干涉SAR植被高度反演研究
Investigation of Tree Height Retrieval with Polarimetric SAR Interferometry Based on ESPRIT Algorithm
【摘要】 由于存在着去相干分量,利用ESPRIT(旋转不变技术)算法对植被区域的极化干涉SAR(PolInSAR)数据进行反演的结果有较严重偏差。针对这一问题,结合极化干涉相干最优理论及其物理散射机制,引入新的散射矢量——相干最优化散射矢量,提出一种改进的基于ESPRIT的植被高度反算法。最后,利用欧空局(ESA)提供的模拟L波段全极化干涉数据对改进算法的有效性进行验证,试验结果证明改进算法能很大程度地提高反演的精度。
【Abstract】 Tree height retrieval results making use of polarimetric interferometry SAR data based on ESPRIT algorithm are seriously biased because of the existence of depolarized components.In order to solve this problem,a modified inversion algorithm combining coherence optimization theory and its physical scattering mechanism is presented.Also,a new scattering vector called coherence optimized scattering vector is introduced to help understanding the algorithm.Finally,the proposed and traditional ESPRIT algorithm is applied to simulated L-band PolInSAR data provided by ESA respectively,and the experiment results suggest the validity of the inversion algorithm.
【Key words】 polarimetric interferometry SAR； tree height retrieval； ESPRIT； coherence optimization；
- 【文献出处】 测绘学报 ,Acta Geodaetica et Cartographica Sinica , 编辑部邮箱 ,2011年03期
- 【分类号】P237
- 【被引频次】33
- 【下载频次】483