Uncertainty Modelling and Quality Control for Spatial Data 2015
DOI: 10.1201/b19160-15
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Qualitative and Quantitative Comparative Analysis of the Relationship between Sampling Density and DEM Error by Bilinear and Bicubic Interpolation Methods

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“…Since DEM quality is influenced by several factors, e.g., sensor types, algorithm, terrain type, grid spacing and characteristics [6], DEM accuracy is at stake [7]. DEM accuracy and quality have been reported in many works based on the estimation of the root mean square error and statistical analysis in comparison with other elevation data or field data (e.g., [7]- [16]).…”
mentioning
confidence: 99%
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“…Since DEM quality is influenced by several factors, e.g., sensor types, algorithm, terrain type, grid spacing and characteristics [6], DEM accuracy is at stake [7]. DEM accuracy and quality have been reported in many works based on the estimation of the root mean square error and statistical analysis in comparison with other elevation data or field data (e.g., [7]- [16]).…”
mentioning
confidence: 99%
“…DEM accuracy and quality have been reported in many works based on the estimation of the root mean square error and statistical analysis in comparison with other elevation data or field data (e.g., [7]- [16]). …”
mentioning
confidence: 99%