| 极化干涉SAR植被高反演复数最小二乘平差法 |
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| 引用本文： | 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. |
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| 作者姓名： | 付海强 朱建军 汪长城 解清华 赵蓉 |
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| 作者单位： | 中南大学 地球科学与信息物理学院 |
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| 基金项目： | 国家自然科学基金，国家863计划，测绘遥感信息工程国家重点实验室开放基金，湖南省自然科学基金，中南大学研究生自主探索创新项目 |
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| 摘 要： | 提出一种PolInSAR植被高反演的复数最小二乘法。在考虑植被层时间去相干的条件下，将RVoG扩展为RVoG+VTD模型；之后，将模型解算问题概括为复数的实部、虚部联合平差问题，提出了该模型线性化的方法及参数解算方法；最后利用解算得到的更为准确的“纯”体去相干系数反演植被高度。采用覆盖德国Oberpfaffenhofen地区的2景E-SAR L波段数据进行试验并与经典的非线性迭代及三阶段算法进行对比分析。结果表明，本文提出的方法结果精度优于其他两种方法，运算效率方面明显优于非线性迭代算法，略低于三阶段算法。
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| 关 键 词： | 极化干涉SAR 树高反演 复数最小二乘平差 时间去相干 |
| 收稿时间： | 2013-12-05 |
| 修稿时间： | 2014-02-20 |
Polarimetric SAR Interferometry Vegetation Height Inversion Method of Complex Least Squares Adjustment |
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| FU Haiqiang,ZHU Jianjun,WANG Changcheng,XIE Qinghua,ZHAO Rong.Polarimetric SAR Interferometry Vegetation Height Inversion Method of Complex Least Squares Adjustment[J].Acta Geodaetica et Cartographica Sinica,2014,43(10):1061-1067. |
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| Authors: | FU Haiqiang ZHU Jianjun WANG Changcheng XIE Qinghua ZHAO Rong |
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| Abstract: | 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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| Keywords: | polarimetric SAR interferometry(PolInSAR) vegetation height inversion complex least squares adjustment temporal decorrelation |
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