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Terrain Topographic Inversion Using Single-Pass Polarimetric SAR Image Data

机译:使用单通过偏振SAR图像数据的地形地形反演

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It has been studied that the shift of polarization orientation angle Ψ at the maximum of co-polarized or cross-polarized back-scattering signature can be converted to the surface slopes. It is then utilized to generate the digital elevation mapping (DEM) and terrain topography using two-pass fully polarimetric SAR or interferometric SAR (INSAR) image data. This paper, using the Mueller matrix solution, newly derives the Ψ shift as a function of three Stokes parameters, I_(vs), I_(hs), U_s, which are measured by polarimetric SAR image data. Using the Euler angles transformation, the orientation angle Ψ is related to both the range and azimuth angles of the tilted surface and radar viewing geometry. When only a single-pass SAR data is available, the adaptive thresholding method and image morphological thinning algorithm for linear textures are proposed to first determine the azimuth angle. Then, making use of full multi-grid algorithm, both the range and azimuth angles are utilized to solve the Poisson equation of DEM to produce the terrain topography.
机译:已经研究过,偏振取向角ψ的偏移在共偏振或交叉极化背散射签名的最大值中可以转换为表面斜面。然后利用它以使用双通过完全偏振SAR或干涉测量SAR(INSAR)图像数据来生成数字高度映射(DEM)和地形地形。本文使用Mueller矩阵解决方案,新推出的ψ变频作为三个Stokes参数的函数,i_(vs),i_(hs),u_s,由偏振sar图像数据测量。使用欧拉角变换,取向角ψ与倾斜表面的范围和方位角和雷达观察几何形状有关。当只有单通SAR数据可用时,提出了用于线性纹理的自适应阈值处理方法和图像形态细化算法,以首先确定方位角。然后,利用全多网格算法,使用范围和方位角来解决DEM的泊松方程以产生地形地形。

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