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首页> 外文期刊>IEEE Transactions on Geoscience and Remote Sensing. >Reconstruction of DEMs From ERS-1/2 Tandem Data in Mountainous Area Facilitated by SRTM Data
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Reconstruction of DEMs From ERS-1/2 Tandem Data in Mountainous Area Facilitated by SRTM Data

机译:利用SRTM数据从山区ERS-1 / 2串联数据重建DEM

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摘要

A new approach is presented in this paper to produce Digital Elevation Model (DEM) in mountainous areas with steep slope using ERS-1/2 tandem data. In order to reduce the impact of phase errors on the Interferometric Synthetic Aperture Radar (InSAR)-generated DEM, an external DEM such as that from Shuttle Radar Topography Mission (SRTM) is utilized in this approach. The proposed algorithm includes two steps: The first step is to model and remove phase trends with a linear regression analysis before converting phase to height; the second step is to filter unreliable height points before interpolating the DEM from the InSAR height map. The critical points are the following: 1) determining the one-to-one correspondence between the interferogram and the SRTM DEM before knowing the InSAR-derived elevation values and 2) estimating the elevation range of every pixel from SRTM DEM. To solve the first problem, an iteratively geocoding algorithm is performed. A DEM interpolation error model solves the second one. For InSAR data processing, the SRTM DEM is not only usable for modeling systematic phase errors but also for filtering gross height errors. The experiments in Zhangbei and the Three Gorges areas in China show that our approach has improved the accuracy of the resulting DEMs significantly without any ground control points.
机译:本文提出了一种使用ERS-1 / 2串联数据在陡坡山区建立数字高程模型(DEM)的新方法。为了减少相位误差对干涉式合成孔径雷达(InSAR)生成的DEM的影响,在此方法中使用了外部的DEM,例如航天飞机雷达地形任务(SRTM)的DEM。所提出的算法包括两个步骤:第一步是在将相位转换为高度之前,通过线性回归分析对相位趋势进行建模和去除;第二步是在从InSAR高度图内插DEM之前,过滤不可靠的高度点。关键点如下:1)在知道InSAR得出的仰角值之前确定干涉图和SRTM DEM之间的一一对应关系; 2)从SRTM DEM估计每个像素的仰角范围。为了解决第一个问题,执行了迭代地理编码算法。 DEM插值误差模型解决了第二个问题。对于InSAR数据处理,SRTM DEM不仅可用于建模系统相位误差,而且还可用于过滤总高度误差。在中国张北和三峡地区的实验表明,我们的方法大大提高了所得DEM的准确性,而没有任何地面控制点。

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