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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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