Effects of Resampling Method on Data Quality of DEMs
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    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.

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

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History
  • Received:September 06,2015
  • Revised:September 26,2015
  • Adopted:
  • Online: September 21,2016
  • Published: