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A Study on the Extraction of DEM from Single SAR Image

机译:从单幅SAR图像中提取DEM的研究

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SAR is a side-looking imaging mode and its image is very sensitive to the terrain shape. The little undulation of the terrain may induce the change of the image gray distribution and/or the texture characteristics. In this paper, the radarclinometry for extracting digital elevation from single SAR image is investigated, which is based on the shape-from-shading principle developed in computer vision, consists in estimating the geometric parameters of a ground, from its radiometry and more precisely from the backscattered intensity coming from a piece of imaged ground. Firstly, the approaches for generation of the digital elevation from the SAR image data are discussed. Secondly the method of radarclinometry will be briefly described. The elevation reconstruction relies on the Lambertian assumption for the terrain backscatter model. Then a single-line integral process is applied to calculate each pixel altitude, but it is still contaminated by noise. Finally the multi-line integral processing with various directions and the simulated annealing algorithm are respectively introduced to improve the single-line integral processing result. The presented experiment results promising in many geographic applications. This is an interesting technique of relief restoring, because it uses one single image only.
机译:SAR是一种侧视成像模式,其图像对地形形状非常敏感。地形的少量起伏可能会引起图像灰度分布和/或纹理特征的变化。在本文中,基于计算机视觉中开发的阴影形状原理,研究了用于从单个SAR图像中提取数字高程的雷达斜度测量方法,该方法包括估计地面的几何参数,辐射度,更准确地说是来自一块成像地面的反向散射强度。首先,讨论了从SAR图像数据生成数字高程的方法。其次,将简要描述雷达测斜法。高程重建依赖于Lambertian假设进行地形反向散射模型。然后,应用单线积分过程来计算每个像素的高度,但是仍然受到噪声的污染。最后分别引入了多方向多线积分处理和模拟退火算法,以提高单线积分处理的效果。提出的实验结果在许多地理应用中都有希望。这是浮雕还原的一种有趣技术,因为它仅使用一个图像。

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