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基于PolInSAR相干区域的最优正规矩阵近似解的地形与树高估计

孙宁霄 吴琼之* 孙林

孙宁霄, 吴琼之*, 孙林. 基于PolInSAR相干区域的最优正规矩阵近似解的地形与树高估计[J]. 电子与信息学报, 2017, 39(5): 1051-1057. doi: 10.11999/JEIT160774
引用本文: 孙宁霄, 吴琼之*, 孙林. 基于PolInSAR相干区域的最优正规矩阵近似解的地形与树高估计[J]. 电子与信息学报, 2017, 39(5): 1051-1057. doi: 10.11999/JEIT160774
SUN Ningxiao, WU Qiongzhi, Sun Lin. Topography and Tree Height Estimation Based on the Best Normal Matrix Approximation for PolInSAR Coherence Region[J]. Journal of Electronics & Information Technology, 2017, 39(5): 1051-1057. doi: 10.11999/JEIT160774
Citation: SUN Ningxiao, WU Qiongzhi, Sun Lin. Topography and Tree Height Estimation Based on the Best Normal Matrix Approximation for PolInSAR Coherence Region[J]. Journal of Electronics & Information Technology, 2017, 39(5): 1051-1057. doi: 10.11999/JEIT160774

基于PolInSAR相干区域的最优正规矩阵近似解的地形与树高估计

doi: 10.11999/JEIT160774

Topography and Tree Height Estimation Based on the Best Normal Matrix Approximation for PolInSAR Coherence Region

  • 摘要: 森林区域林下地形及树高的反演是极化干涉雷达的一个重要应用。该文首先对极化干涉SAR数据的相干区域进行建模及运用最优正规矩阵近似干涉互相关矩阵,得到白化正规干涉互相关矩阵。白化正规干涉互相关矩阵的相干区域为一条直线,任意求得两个不同极化状态下的相干系数进行直线拟合,完成地表的估计,再结合体散射去相干与树高之间的关系,运用查表方法完成树高的估计。该方法回避了传统方法中求解所有极化状态下的相干系数估计及相干区域边缘提取的步骤,在简化参数反演提升估计效率的同时获得正确地表与树高估计,最后运用仿真数据完成算法有效性与可靠性的验证。
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出版历程
  • 收稿日期:  2016-07-22
  • 修回日期:  2016-11-11
  • 刊出日期:  2017-05-19

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