Simulations of Scattering Matrix and Coherency Matrix for Pol-SAR Applications of Soil and Vegetated Surfaces using 3-D Numerical Solutions of Maxwell Equation (NMM3D)

被引:0
作者
Liao, Tien-Hao [1 ]
Tsang, Leung [2 ]
机构
[1] Univ Washington, Dept Elect Engn, Seattle, WA 98195 USA
[2] Univ Michigan, Dept Elect Engn & Comp Sci, Ann Arbor, MI 48109 USA
来源
2015 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2015年
关键词
rough surface; numerical Maxwell solution; polarimetric SAR;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Scattering matrices (S-VV, S-HH, S-VH, S-HV) are calculated from numerical 3D solutions of Maxwell equations (NMM3D). Using the simulated scattering matrices, we compute the polarimetric speckle and the coherency matrix for Pol-SAR applications. Results from NMM3D are examined by the comparison with theoretical distributions, including amplitude, phase difference, and amplitude ratio. Surface roughness dependence with entropy, anisotropy, and alpha angle from the ensemble average of coherency matrix is also studied. In this paper, we calculate polarimetric statistics of rough surface at C-band (5.4GHz) with 40 degree incidence. In addition, we study complete polarimetry of vegetated surface using distorted born approximation with surface scattering from NMM3D. Numerical Maxwell Method in 3D (NMM3D) with near field precondition was applied.
引用
收藏
页码:704 / 707
页数:4
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