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The impact of horizontal errors on the accuracy of freely available Digital Elevation Models (DEMs)

机译:水平误差对自由可用数字高度模型精度的影响(DEMS)

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摘要

Many freely available global or quasi-global digital elevation model (DEM) datasets, including Advanced Land Observing Satellite (ALOS) World 3 Dimensions (3D) 30 m DEM (AW3D30 DEM), Advanced Spaceborne Thermal Emission and Reflection Radiometer DEM (ASTER DEM), Shuttle Radar Topography Mission DEM (SRTM DEM), Multiple-Error-Removed-Improved-Terrain DEM (MERIT DEM), and TerraSAR-X add-on for Digital Elevation Measurement (TanDEM-X) DEM (TanDEM-X DEM), are extremely useful products for many applications, so it is necessary to make a reasonable analysis of the quality of these DEMs. The quality of these DEMs is affected by both horizontal and vertical errors. However, most related researches have paid little attention to the effects of horizontal errors on the vertical accuracy of DEMs. Herein, after analysing the horizontal errors caused in the data acquisition process from optical stereo pairs and interferometry, experiments were proposed to assess the horizontal errors in DEMs. Then, we used the high accuracy digital surface model (DSM) of the Changsha area generated from the ZiYuan-3 triplet stereos to investigate the impact of horizontal errors on the accuracy of the five freely available DEMs. The subpixel level horizontal errors of the five DEMs were calculated, showing that the TanDEM-X DEM has systematic offsets and the other four DEMs have strip-like geometric errors. All the DEMs, except ASTER DEM, attained an accuracy increase of approximately 10% after the horizontal errors were removed. In mountainous areas, correcting the horizontal errors could eliminate the elevation errors caused by the imaging geometry of the optical camera and radar system. Generally, AW3D30 DEM has the best performance in terms of overall elevation accuracy and geometric accuracy after eliminating horizontal errors, and so it can have wide-ranging applications. These findings demonstrate the importance of removing horizontal errors to improve the elevation accuracy in practical applications using these global freely available DEMs.
机译:许多可自由的全球或准全球数字高度模型(DEM)数据集,包括先进的土地观察卫星(ALOS)世界3尺寸(3D)30米DEM(AW3D30 DEM),高级星载热排放和反射辐射计DEM(Aster DEM) ,穿梭雷达形貌Mission DEM(SRTM DEM),多次错误删除改进的地形DEM(MERIT DEM),以及用于数字高度测量的Terrasar-X附加(TANDEM-X)DEM(TANDEM-X DEM),对于许多应用是非常有用的产品,因此有必要对这些DEM的质量进行合理分析。这些DEM的质量受水平和垂直误差的影响。然而,大多数相关的研究已经很少关注水平误差对DEM垂直准确度的影响。这里,在分析来自光学立体对和干涉法中的数据采集过程中引起的水平误差之后,提出了实验以评估DEM的水平误差。然后,我们使用了从Ziyuan-3三联体立体声产生的长沙地区的高精度数字表面模型(DSM)来调查水平误差对五个可自由的DEM的准确性的影响。计算五个DEM的子像素级水平误差,显示TANDEM-X DEM具有系统的偏移,另外四个DEM具有条带状的几何误差。除艾斯特DEM之外的所有DEM,在移除水平误差后,达到了约10%的精度增加。在山区,纠正水平误差可能会消除光学摄像机和雷达系统的成像几何形状引起的高度误差。通常,AW3D30 DEM在消除水平误差后,在整体高度精度和几何精度方面具有最佳性能,因此它可以具有广泛的应用。这些发现表明了消除水平误差的重要性,以提高使用这些全球自由的DEM的实际应用中的高度精度。

著录项

  • 来源
    《International journal of remote sensing》 |2020年第20期|7383-7399|共17页
  • 作者单位

    Cent South Univ Sch Geosci & Infophys Changsha Peoples R China|Cent South Univ Sch Geosci & Infophys Key Lab Metallogen Predict Nonferrous Met & Geol Minist Educ Changsha Peoples R China;

    Cent South Univ Sch Geosci & Infophys Changsha Peoples R China|Cent South Univ Sch Geosci & Infophys Key Lab Metallogen Predict Nonferrous Met & Geol Minist Educ Changsha Peoples R China;

    Cent South Univ Sch Geosci & Infophys Changsha Peoples R China|Cent South Univ Sch Geosci & Infophys Key Lab Metallogen Predict Nonferrous Met & Geol Minist Educ Changsha Peoples R China;

    Cent South Univ Sch Geosci & Infophys Changsha Peoples R China|Cent South Univ Sch Geosci & Infophys Key Lab Metallogen Predict Nonferrous Met & Geol Minist Educ Changsha Peoples R China;

    Minist Nat Resources Peoples Republ China Land Satellite Remote Sensing Applicat Ctr Beijing Peoples R China;

    Minist Nat Resources Peoples Republ China Land Satellite Remote Sensing Applicat Ctr Beijing Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
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