高精度曲面建模方法研究进展与分类

doi:10.18306/dlkxjz.2016.04.001

Abstract

Abstract:

High accuracy surface modeling (HASM) is a new generation of surface simulation method. After 20 years of development, its theoretical basis has continuously improved, the algorithm is enriched, and the application field is expanding. However, a scientific classification system of HASM methods has not been established and this has prevented further application of HASM in various fields. To solve this problem, this article first summarizes the development process of HASM, then according to the nature of given research problems, HASM is divided into spatial interpolation and spatial data fusion methods based on the type of input data. The HASM spatial interpolation method generates target surface according to discrete sampling points. The HASM spatial data fusion method is the fusion of multi-source data that integrates the advantages of each data source to obtain a new surface. This classification provides a theoretical guidance for the further application of HASM. The article also introduces the general steps of solving spatial simulation problems using the two HASM methods, and the development prospect of the two methods is discussed.

Key words: high accuracy surface modeling (HASM), accuracy, interpolation, data fusion, review

Mingwei ZHAO, Tianxiang YUE. Classification of high accuracy surface modeling (HASM) methods and their recent developments[J].PROGRESS IN GEOGRAPHY, 2016, 35(4): 401-408.

Figures/Tables 2

References 50

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Classification of high accuracy surface modeling (HASM) methods and their recent developments

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