2010Journal of Xuchang UniversityRequires access

Multi-level Spatial Data Interpolation Methods and Application

Jian Cheng

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Abstract

The quality of huge scale spatial data is specified with interpolation.Based on the analysis of normal spatial data interpolation methods,a new method of multi-level spatial data interpolation is proposed with algorithm in details.The result of experiment based on 3D geoscience modeling shows that it can heep more modeling features.

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The quality of huge scale spatial data is specified with interpolation.Based on the analysis of normal spatial data interpolation methods,a new method of multi-level spatial data interpolation is proposed with algorithm in details.The result of experiment based on 3D geoscience modeling shows that it can heep more modeling features.

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Available abstract

The quality of huge scale spatial data is specified with interpolation.Based on the analysis of normal spatial data interpolation methods,a new method of multi-level spatial data interpolation is proposed with algorithm in details.The result of experiment based on 3D geoscience modeling shows that it can heep more modeling features.

Key concepts: Interpolation (computer graphics), Multivariate interpolation, Computer science, Nearest-neighbor interpolation, Spatial analysis, Bilinear interpolation, Trilinear interpolation, Scale (ratio)

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