摘要
提出了一种基于散点图矩阵建立多元回归模型的方法,并依此构建了DEM地形描述误差与分辨率、相对高差、凹凸系数的关系公式。实验结果表明,所得公式具有较好的效果。
Visualization is an effective method for analyzing correlation information between multivariate data. We built a multivariate data model statistically through a multivariate re- gression model based on scatter plot matrices. Next, we developed a formulae including ter- rain representation error, resolution, relative height, and a concave-convex coefficient and validated it through experimentation The experiments with this proposed formulae show that it is highly effective.
出处
《武汉大学学报（信息科学版）》
EI
CSCD
北大核心
2013年第11期1344-1348,共5页
Geomatics and Information Science of Wuhan University
基金
国家863计划资助项目(2013AA12A202)
关键词
DEM
误差
精度模型
地形因子
回归分析
散点图矩阵
DEM
errors
accuracy model
terrain faetor
regression analysis
scatterplot matrices
