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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。
  • 吴一戎, 洪文, 王彦平. 极化干涉SAR的研究现状与启示[J]. 电子与信息学报, 2007, 29(5): 1258-1262.
    WU Yirong, HONG Wen, and WANG Yanping. The current status and implications of polarimetric SAR interferometry[J]. Journal of Electronics Information Technology, 2007, 29(5): 1258-1262.
    GUO S L, LI Y, HONG W, et al. Modification of polarimetric SAR interferometry target decomposition with accuracy topography[J]. IEEE Geoscience and Remote Sensing Letters, 2015, 12(7): 1476-1480. doi: 10.1109/ LGRS.2015.2409311.
    GUO S L, LI Y, YIN Q, et al. Estimation of ground topography under forests with polarimetric SAR interferometry[C]. 2015 IET Radar Conference, Hangzhou, China, 2015: 1-6.
    CLOUDE S R and PAPATHANASSIOU K P. Three-stage inversion process for polarimetric SAR interferometry[J]. IEE Proceedings-Radar, Sonar and Navigation, 2003, 150(3): 125-134. doi: 10.1049/ip-rsn:20030449.
    GARESTIER F, DUBOIS-FERNANDEZ P C, and PAPATHANASSIO K P. Pine forest height inversion using single-pass X-band PolInSAR data[J]. IEEE Transactions on Geoscience and Remote Sensing, 2008, 46(1): 59-68. doi: 10.1109/TGRS.2007.907602.
    郭胜龙, 李洋, 洪文, 等. 基于简缩极化干涉SAR数据的森林垂直结构参数反演[J]. 电子与信息学报, 2016, 38(1): 71-79. doi: 10.11999/JEIT150394.
    GUO Shenglong, LI Yang, HONG Wen, et al. Vertical parameters estimation of forest with compact polarimetric SAR interferometric data[J]. Journal of Electronics Information Technology, 2016, 38(1): 71-79. doi: 10.11999/ JEIT150394.
    METTE T. Forest biomass estimation from polarimetric SAR interferometry[D]. [Ph.D. dissertation], Germany: Technische Universitaet Muenchen, 2006.
    冯琦, 陈尔学, 李增元, 等. 基于机载P-波段全极化SAR数据的复杂地形森林地上生物量估测方法[J]. 林业科学, 2016, 52(3): 10-22. doi: 10.11707/j.1001-7488.20160302.
    FENG Qi, CHEN Erxue, LI Zengyuan, et al. Forest above-ground biomass estimation method for rugged terrain based on airborne P-band PolSAR data[J]. Scientia Silvae Sinicae, 2016, 52(3): 10-22. doi: 10.11707/j.1001-7488.20160302.
    TREUHAFT R N and SIQUEIRA P R. The vertical structure of vegetated land surfaces from interferometric and polarimetric radar[J]. Radio Science, 2000, 35(1): 141-177. doi: 10.1029/1999RS900108.
    丁克良, 沈云中, 欧吉坤. 整体最小二乘法直线拟合[J]. 辽宁工程技术大学学报(自然科学版), 2010, 29(1): 44-47. doi: 1008-0562(2010)01-0044-04.
    DING Keliang, SHEN Yunzhong, and OU Jikun. Methods of line-fitting based on total least squares[J]. Journal of Liaoning Technical University (Natural Science), 2010, 29(1): 44-47. doi: 1008-0562(2010)01-0044-04.
    许丽颖, 李世强, 邓云凯, 等. 基于极化干涉SAR 反演植被高度的改进三阶段算法[J]. 雷达学报, 2014, 3(1): 28-34. doi: 10.3724/SP.J.1300.2014.13089.
    XU Liying, LI Shiqiang, DENG Yunkai, et al. Improved three-stage algorithm of forest height retrieval with PolInSAR[J]. Journal of Radars, 2014, 3(1): 28-34. doi: 10.3724/SP.J.1300.2014.13089.
    YI C, YAMAGUCHI Y, YAMADA H, et al. PolInSAR coherence region modeling and inversion: The best normal matrix approximation solution[J]. IEEE Transactions on Geoscience Remote Sensing, 2015, 53(2): 1048-1060. doi: 10.1109/TGRS.2014.2332553.
    CLOUDE S R. Polarisation: Applications in Remote Sensing[M]. Oxford University Press, 2009.
    ZACHLIN P F and HOCHSTENBACH M E. On the numerical range of a matrix[J]. Linear Multilinear Algebra, 2008, 56(1): 185-225.
    POTTIER E. ProSARPro_v4.2.0[OL]. https://earth.esa. int/web/polsarpro, 2012.
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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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