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Volume 38 Issue 1
Jan.  2016
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GUO Shenglong, LI Yang, YIN Qiang, WANG Jianfeng, HONG Wen. Vertical Parameters Estimation of Forest with Compact Polarimetric SAR Interferometry Data[J]. Journal of Electronics & Information Technology, 2016, 38(1): 71-79. doi: 10.11999/JEIT150394
Citation: GUO Shenglong, LI Yang, YIN Qiang, WANG Jianfeng, HONG Wen. Vertical Parameters Estimation of Forest with Compact Polarimetric SAR Interferometry Data[J]. Journal of Electronics & Information Technology, 2016, 38(1): 71-79. doi: 10.11999/JEIT150394

Vertical Parameters Estimation of Forest with Compact Polarimetric SAR Interferometry Data

doi: 10.11999/JEIT150394
  • Received Date: 2015-04-08
  • Rev Recd Date: 2015-09-24
  • Publish Date: 2016-01-19
  • Vertical parameters estimation of forest is one of the most important applications in the Polarimetric Interferometric SAR (PolInSAR). On the basis of the Radom Volume over Ground (RVoG) model, the topographical phase and the tree height in forest area can be successfully estimated with the PolInSAR data. In this paper, the topographical phase and forest heights are obtained with single-baseline Compact Polarimetric Interferometric SAR (C-PolInSAR) data. This paper introduces the complex coherence coefficients and the coherence region of the single-baseline C-PolInSAR. Firstly, line-fitting technique is performed on the basis of the coherence region, then the criterion for estimating the topography, and the only volume de-correlation are proposed with the compact polarimetric SAR interferometry datasets. Finally, the topography and the forest heights are proposed. The simulated L, and P band data is used to validate the proposed method, and the topography and tree heights are obtained successfully. Since the transmit wave polarization state of the compact polarimetric system is not unique, this paper analyzes the influence of the elliptic-polarization with different elliptical parameters on the topographical phase and the forest heights. Results show that elliptic-polarization has a little impact on vertical parameters, which also validates the stability of the estimation method.
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  • CTLROUDE S R and PAPATHANASSIOU K P. Three-stage inversionprocess for polarimetric SAR interferometry[J]. IEE Proceedings-Radar, Sonar and Navigation, 2003, 150(3): 125-134.
    TREUHAFTR 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.
    CHEN H, CTLROUDE S R, and GOODENOUGH D G. Compact radar polarimetry forfirescar mapping andland cover CTLRassification[C]. Proceedings of the IET International Radar Conference, Xian, China, 2013: 1-4.
    陈琳. 简缩极化SAR信息处理模型与方法研究[D]. [博士论文], 中国科学院电子学研究所, 2013.
    CHEN Lin. Investigation on models and methods of compact polarimetric SAR information processing[D]. [Ph.D. dissertation], Institute of Electronics, Chinese Academy of Sciences, 2013.
    SOUYRIS J C, IMBO P, FJORTOFT R, et al. Compact polarimetry based on symmetry properties of geophysical media: the pi/4 mode[J]. IEEE Transactions on Geoscience and Remote Sensing, 2005, 43(3): 634-646.
    RANEY R K. Hybrid-polarity SAR architecture[J]. IEEE Transactions on Geoscience and Remote Sensing, 2007, 45(11): 3397-3404.
    COLLINS M J, DENBINA M, and ATTEIA G. On the reconstruction of quad-Pol SAR data fromcompact polarimetry data for ocean target detection[J]. IEEE Transactions on Geoscience and Remote Sensing, 2013, 51(1): 591-600.
    NORD M E, AINSWORTH T L, LEE J S, et al. Comparison of compact polarimetric synthetic aperture radar modes[J]. IEEE Transactions on Geoscience and Remote Sensing, 2009, 47(1): 174-188.
    SALBERG A B, RUDJORD ?, and SOLBERG A H S. Oil spill detection in hybrid-polarimetricSARimage[J]. IEEE Transactions on Geoscience and Remote Sensing, 2014, 52(10): 6521-6533.
    郭胜龙, 李洋, 洪文, 等. 基于模型的模式简缩极化干涉数据目标分解[J]. 电子与信息学报, 2015, 37(1): 22-28. doi: 10.11999/ JEIT140550.
    GUO Shenglong, LI Yang, HONG Wen, et al. Model-based target decomposition with mode compact polarimetric SAR interferometry data[J]. Journal of Electronics Information Technology, 2015, 37(1): 22-28. doi: 10.11999/ JEIT140550.
    SABRY RAND VACHON P W. A unified framework for general compact andquad polarimetric SAR data and imagery analysis[J]. IEEE Transactions on Geoscience and Remote Sensing, 2014, 52(1): 582-602.
    ARNAUBEC A, ROUEFF A, REFREGIER P, et al. Vegetation height estimation precision with compact PolInSAR and homogeneous Random Volume over Ground model[J]. IEEE Transactions on Geoscience and Remote Sensing, 2014, 52(3): 1879-1891.
    POTTIER E. ProSARPro_v4.2.0[OL]. https://earth.esa.- int/ web/polsarpro, 2012.
    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.
    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.
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