基于ArcGIS的SRTM缺失数据修复处理方法
Method Study on SRTM Void Data Recovery Based on ArcGIS
  
DOI:
中文关键词:  数据修复  空间插值
英文关键词:SRTM  ArcGIS
基金项目:中国博士后科学基金,大洋生物资源开发与利用重点实验室开放基金
徐良  彭光雄  沈蔚
徐良,Xu Liang(常州市测绘院,江苏,常州,213000)
;彭光雄,Peng GuangXiong(中南大学,地学与环境工程学院,湖南,长沙,410083;有色金属成矿预测教育部重点实验室,湖南,长沙,410083)
;沈蔚,Shen Wei(大洋生物资源开发与利用上海市高校重点实验室,上海海洋大学,上海,21306)
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中文摘要:
      利用栅矢转换和掩膜技术及ArcGIS的空间插值模块,构建了一种SRTM缺失数据的修复处理方法.通过不同条件下的多种样本试验,探讨了外界因素对插值精度和运算效率的影响.结果表明样条函数法是适宜于SRTM缺失数据修复的最佳插值方法.当人工模拟的空洞窗口大小为4×4像元时,其插值的误差平均值和标准差分别为0.90%和0.75%.随着地形起伏程度的增加,插值误差的平均值和标准差也随之加大.同时插值的精度会随着空洞窗口的增大而降低,窗口大小从4×4像元增大至12×12像元时,误差平均值从0.92%增加至3.84%,标准差则从0.75%增加至3.26%.试验表明6×6像元的窗口大小是保障插值误差在SRTM数据精度范围内的最大窗口.
英文摘要:
      The digital elevation data of Shuttle Radar Topography Mission(SRTM)is an important foundation data for geospatial modeling.However the void data of SRTM caused by the deficiencies of radar produce great inconvenience for its application.An approach and process flow of SRTM void data recovery is constructed using raster to vector conversion and mask processing technology based on spatial interpolation in ArcGIS software.To ensure the validity of interpolation results,the most important step of this process ...
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