Study on Method of Building a Regional Digital Elevation Model Based on Accuracy Evaluation by Cross Validation
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With the rapid social and economic development, the demand for application of surveying and mapping geographic information has been ever-increasing. Every year, a large amount of elevation point data will be added or updated, and it is in urgent need of building an authoritative, unified and high-precision digital elevation model to improve the guaranteed service capability of surveying and mapping geographic information and assist the urban planning and management departments in making decisions. This paper builds a digital elevation model for Nansha District through 41159 actually measured elevation points respectively using the global polynomial interpolation, local polynomial interpolation, inverse distance weighted interpolation and radial basis function interpolation. Cross validation shows that, the global polynomial interpolation is suitable for building a trend surface, and the local polynomial interpolation, inverse distance weighted interpolation and radial basis function interpolation are suitable for building a digital elevation model, where the radial basis function interpolation has the highest precision for building the regional digital elevation model for this research area.
Digital elevation model, spatial interpolation, cross validation.