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Terrain topographic inversion using single-pass polarimetric SAR image data

机译:使用单程极化SAR图像数据进行地形地形反演

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The shift of polarization orientation angle PSI at the maximum of co-polarized or cross-polarized back-scattering signature can be used to estimate the surface slopes. It has been utilized to generate the digital elevation mapping (DEM) and terrain topography using two-pass fully polarimetric SAR or interfere metric SAR (INSAR) image data. This paper presents an approach to DEM inversion by using a single pass of polarimetric SAR data. The PSI shift is derived, by using the Mueller matrix solution, as a function of three Stokes parameters, I_(vs) I_(hs), U_s, which are measured by the SAR polarimetry. Using the Euler angles transformation, the orientation angle PSI is related to both the range and azimuth angles of the tilted surface and radar viewing geometry, as has been discussed by many authors. 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:极化取向角PSI在同极化或交叉极化反向散射信号最大值处的偏移可用于估计表面斜率。它已被用于使用两遍全极化SAR或干扰度量SAR(INSAR)图像数据生成数字高程图(DEM)和地形地形。本文介绍了一种通过单次极化SAR数据进行DEM反演的方法。通过使用Mueller矩阵解,得出PSI位移是三个斯托克斯参数I_(vs)I_(hs),U_s的函数,这些参数是通过SAR极化仪测量的。正如许多作者所讨论的那样,使用欧拉角变换,定向角PSI与倾斜表面的范围和方位角以及雷达观察几何形状有关。当仅单次通过SAR数据可用时,提出了线性阈值的自适应阈值化方法和图像形态细化算法,以首先确定方位角。然后,利用完整的多网格算法,同时利用距离和方位角求解DEM的泊松方程,以生成地形地形。

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