利用RADARSAT2从单极化SAR图像估计地表地形

B. Souissi, M. Ouarzeddine, Houda Latreche
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摘要

本文提出了一种实用的方法,在不需要任何地形先验知识的情况下,利用偏振合成孔径雷达(PolSAR)单通道而不是双通道或干涉SAR (INSAR)来估算地形方位角和地面距离方向上的坡度,从而生成数字高程模型(DEM)。基本方法是将方向角估计与计算机视觉界常用的形状-阴影技术(SFS)相结合。特别是,当PolSAR数据有限时,该技术为生成DEM提供了另一种方法。偏振取向角(POA)与倾斜表面的距离角、方位角和雷达视角都有关系,利用圆偏振法可以从PolSAR数据中估计出偏振取向角,相对于其他方法在计算效率和精度上都表现出最好的性能。在结合POA估计和SFS算法初步估计了距离和方位角方向上的地形坡度后,使用类似于干涉相位展开的最小二乘法生成地形。相位展开的最小二乘方法通过最小化(包裹)相位数据的离散偏导数与未包裹解的离散偏导数之间的差异来获得未包裹解。我们使用RadarSAT2 (FQ19)在阿尔及利亚获得的c波段偏振SAR图像来说明我们的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Estimation of surface topography from single polarimetric SAR imagery using RADARSAT2
In this paper a practical method is demonstrated for estimating terrain slopes in azimuth and ground range directions for digital elevation model (DEM) generation without any prior knowledge on the terrain by using only one single pass of polarimetric synthetic aperture radar (PolSAR) instead of two-pass or interferometric SAR (INSAR). The basic approach is by combing the orientation angle estimation and a shape-from-shading technique (SFS) which is mostly used by the computer vision community. In particular, when limited PolSAR data are available, this technique provides an alternative way for DEM generation. The polarization orientation angle (POA) is related to both the range and azimulh angles of the tilted surface and radar viewing angle and it can be estimated from the PolSAR data by using the circular polarization method which shows the best performance in computation efficiency and accuracy with respect to the other methods. After terrain slopes in both the range and azimuth directions have been estimated initially by the combination of the POA estimation and the SFS algorithm, a least squares method similar to that used in interferometric phase unwrapping is used to generate the topography. The least squares approach to phase unwrapping obtains an unwrapped solution by minimizing the differences between the discrete partial derivatives of the (wrapped) phase data and the discrete partial derivatives of the unwrapped solution. We illustrate our results by using the polarimetric SAR images acquired in Algeria by the RadarSAT2 (FQ19) in C-band.
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