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RESEARCH ON A DEM COREGISTRATION METHOD BASED ON THE SAR IMAGING GEOMETRY

机译:基于SAR成像几何的DEM配准方法研究

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Due to the systematic error, especially the horizontal deviation that exists in the multi-source, multi-temporal DEMs (Digital Elevation Models), a method for high precision coregistration is needed. This paper presents a new fast DEM coregistration method based on a given SAR (Synthetic Aperture Radar) imaging geometry to overcome the divergence and time-consuming problem of the conventional DEM coregistration method. First, intensity images are simulated for two DEMs under the given SAR imaging geometry. 2D (Two-dimensional) offsets are estimated in the frequency domain using the intensity cross-correlation operation in the FFT (Fast Fourier Transform) tool, which can greatly accelerate the calculation process. Next, the transformation function between two DEMs is achieved via the robust least-square fitting of 2D polynomial operation. Accordingly, two DEMs can be precisely coregistered. Last, two DEMs, i.e., one high-resolution LiDAR (Light Detection and Ranging) DEM and one low-resolution SRTM (Shutter Radar Topography Mission) DEM, covering the Yangjiao landslide region of Chongqing are taken as an example to test the new method. The results indicate that, in most cases, this new method can achieve not only a result as much as 80 times faster than the minimum elevation difference (Least Z-difference, LZD) DEM registration method, but also more accurate and more reliable results.
机译:由于系统误差,尤其是多源,多时间DEM(数字高程模型)中存在的水平偏差,需要一种用于高精度配准的方法。本文提出了一种基于给定SAR(Synthetic Aperture Radar)成像几何形状的快速DEM配准方法,以克服传统DEM配准方法的发散性和耗时的问题。首先,在给定的SAR成像几何条件下,模拟了两个DEM的强度图像。使用FFT(快速傅立叶变换)工具中的强度互相关运算,可以在频域中估算2D(二维)偏移量,从而可以大大加快计算过程。接下来,通过2D多项式运算的鲁棒最小二乘拟合实现两个DEM之间的转换函数。因此,可以精确地共注册两个DEM。最后,以覆盖重庆阳角滑坡地区的两个DEM为例,分别是一个高分辨率的LiDAR(光探测与测距)DEM和一个低分辨率的SRTM(快门雷达地形任务)DEM。 。结果表明,在大多数情况下,此新方法不仅可以达到比最小高差(最小Z差,LZD)DEM配准方法快80倍的结果,而且还可以使结果更准确和更可靠。

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