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航测数据处理中的空间插值方法比较
引用本文:王颖,祝民强,乔康宁. 航测数据处理中的空间插值方法比较[J]. 测绘与空间地理信息, 2011, 34(1): 234-237,241
作者姓名:王颖  祝民强  乔康宁
作者单位:东华理工大学江西省数字国土重点实验室,核资源与环境教育部重点实验室,江西,抚州,344000
摘    要:航测数据的航线间距与采样点间距差异很大,生成等值线时需要进行空间插值.以云南省江川地区的航测数据为实验数据源,分别采用反距离权重插值(IDW)、规则样条函数插值(Regularized Spline)、张力样条函数(Tension Spline)插值和Kriging插值等4种插值方法,对航测数据进行分析与比较,从中选出...

关 键 词:航测数据  空间插值  反距离权重插值  规则样条函数插值  张力样条函数插值  Kriging插值

Spatial Interpolation Methods in Aerial Survey Data Processing
WANG Ying,ZHU Min-qiang,QIAO Kang-ning. Spatial Interpolation Methods in Aerial Survey Data Processing[J]. Geomatics & Spatial Information Technology, 2011, 34(1): 234-237,241
Authors:WANG Ying  ZHU Min-qiang  QIAO Kang-ning
Affiliation:WANG Ying,ZHU Min-qiang,QIAO Kang-ning(Jiangxi Province Key Laboratory of Digital Land of East China Institute of Technology,Experimental Center of Digital Engineering for Nuclear Facility,Fuzhou 344000,China)
Abstract:The route distance of aerial survey data is quite different from the sample points distance.When sample points generate contours,they need spatial interpolation.This paper took the aerial survey data of Jiangchuan of Yunnan Province as the experimental data source,and applied the Inverse Distance Weighted(IDW),Regularized Spline,Tension Spline,Kriging four interpolation methods respectively for analyzing and comparing aerial survey data to chose one of the optimal interpolation methods and its parameters,so...
Keywords:aerial survey data  spatial interpolation  Inverse Distance Weighted(IDW) interpolation  Regularized Spline interpolation  Tension Spline interpolation  Kriging interpolation  
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