重采样方法对DEM数据质量的影响
作者:
作者单位:

作者简介:

通讯作者:

中图分类号:

基金项目:

国家自然科学基金项目“黄土高原小流域侵蚀沟道网络的空间频谱分析”(41101264),“地表坡度的统计分布理论模型研究”(41371274),“梯田对坡度坡长因子的扰动特征研究”(41271284)


Effects of Resampling Method on Data Quality of DEMs
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    [目的] 针对在数字地形分析的实际应用问题,利用重采样方法得到的DEM数据精度,旨在分析不同的重采样方法对所获得的DEM数据质量的影响。[方法] 从数据误差的角度,以陕西省绥德县窑家湾沟流域的以全数字摄影测量得到的DEM数据为基准,计算并比较利用重采样方法得到的DEM的数据误差。[结果] 无论采用何种重采样方法,得到DEM数据质量均未得到提高,其高程误差的空间分布与重采样方法相关,地形变化剧烈的地方,误差较大;中误差的大小则取决于重采样方法与原始格网尺寸。[结论] 最近邻法得到的重采样DEM数据的中误差最高,三次立方卷积法的最小,双线性内插法则略高于三次立方卷积法。

    Abstract:

    [Objective] The influences of different resampling methods on the quality of DEMs were analyzed to explain the accuracy of those methods which were widely used in digital terrain analysis. [Methods] Based on data error analysis, the RMSEs of elevation of those DEMs were calculated from different resampling methods, and from the original DEMs generated by digital photogrammetric method in Yaojiawan valley, Suide County of Shaanxi Province Were compared. [Results] No improvement of the quality of resampled DEMs was observed for all the resampling methods. The spatial distribution of elevation error of resampled DEMs depended on the resampling methods. The larger errors emerged in the positions with the vigorous changing of surface. Meanwhile, the values of RMSE were decided by original grid size and the methods of resampling. [Conclusion] The DEMs resampled by nearest method had the highest RMSE, while the Cubic method obtained the lowest RMSE and Bilinear method got slightly higher RMSE than that of Cubic method.

    参考文献
    相似文献
    引证文献
引用本文

王雷,龙永清,杨勤科.重采样方法对DEM数据质量的影响[J].水土保持通报,2016,36(4):72-77

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2015-09-06
  • 最后修改日期:2015-09-26
  • 录用日期:
  • 在线发布日期: 2016-09-21
  • 出版日期: