摘要
以研究区1∶10 000DEM和DLG数据为基础,分别提出基于DLG数据和DEM数据的精细化处理方法,并对比分析了最近邻域法、双线性内插法以及三次卷积法三种重采样方法对DEM精细化处理效果的影响,结果表明:双线性内插法在时间效率、数据精度以及图像效果方面均适中,故决定采用双线性内插法将研究区5m格网DEM数据通过重采样生成为2m格网DEM数据,最后通过可视化和检查点法验证了精细化处理的精度均满足相关要求。相关研究成果可为地形特征等数据的提取提供精度较高的基础数据。
Refinement methods respectively based on 1∶10000 Digital Elevation Models(DEM)and Digital Line Graphic(DLG)of the research area was proposed.In addition,the influences of three resampling methods,i.e.nearest neighbor method,bilinear interpolation method and cubic convolution method,on the precision of data and DEM data were compared and analyzed.The results showed that the bilinear interpolation method was moderate in efficiency,data precision and image effect,so it was adopted to resample the DEM data from 5 m into 2 m.Finally,the precision of refinement was verified by visualization and check points.It could provide reference for extraction of terrain features and other data.
作者
张腾腾
ZHANG Tengteng(Guangdong Institute of Land and Resources Mapping,Guangzhou Guangdong 510700,China)
出处
《北京测绘》
2021年第2期212-216,共5页
Beijing Surveying and Mapping
