极化干涉SAR植被高反演复数最小二乘平差法
收稿日期: 2013-12-05
修回日期: 2014-02-20
网络出版日期: 2014-10-24
基金资助
国家自然科学基金项目;国家973计划资助项目;湖南省自然科学基金;国家自然科学基金项目;国家自然科学基金项目
Polarimetric SAR Interferometry Vegetation Height Inversion Method of Complex Least Squares Adjustment
付海强 朱建军 汪长城 解清华 赵蓉 . 极化干涉SAR植被高反演复数最小二乘平差法[J]. 测绘学报, 2014 , 43(10) : 1061 -1067 . DOI: 10.13485/j.cnki.11-2089.2014.0170
A PolInSAR vegetation height inversion method of complex least squares adjustment (CLSA) is proposed. Considering the temporal decorrelation, the RVoG is extended into RVoG+VTD. And then, the issue of resolving model is summarized as combined adjustment of complex real and imagine. The linearization method and parameter retrieval method are also given. At last, the robust volume-only coherence is used to compute the vegetation height. The CLSA method is validated on 2 E-SAR L band data of Oberpfaffenhofen, Germany and compared with the results of nonlinear iteration and three-stage methods. It demonstrates that the result of CLSA method is more accurate. The computational efficiency of CLSA method is higher than that of nonlinear iteration method and slightly lower than three-stage method.
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