航测数据处理中的空间插值方法比较  

Spatial Interpolation Methods in Aerial Survey Data Processing

作　　者：王颖[1] 祝民强[1] 乔康宁[1] 

机构地区：[1]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

出　　处：《测绘与空间地理信息》2011年第1期234-237,241,共5页Geomatics & Spatial Information Technology

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,从中选出一种最优的插值方法及其参数,以提高航空放射性测量数据的预测精度和质量。验证结果表明,4种插值方法,相对均方差(RMSE)的排列顺序为:Tension Spline<Regularized Spline<IDW<Kriging,且插值分析中Tension所绘制的铀含量等值线也为最佳分布。因此,Tension插值方法在该航测数据处理中插值效果最好,预测的精度也最高。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 forth to improve the accuracy and quality of aerial radiological survey data.The validation results showed that the order of Relative Mean Square Error（RMSE）of the four kinds of interpolation methods is Tension SplineRegularized SplineIDWKriging,and Tension interpolation methods＇contour map is the most optimal distribution in the interpolation analyze.Therefore,Tension of Spline interpolation methods＇effort is the most natural and the highest prediction accuracy in the aerial survey data processing.

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 

分 类 号：P231[天文地球—摄影测量与遥感]