回归与内插法处理ASTER GDEM数据异常值的研究

为了解决ASTER GDEM数据中普遍存在的数据空洞及异常问题,在利用坡度分析与密度分割等方法,提取ASTERGDEM数据中存在的空洞及异常值后,借助SRTM DEM数据,利用回归与内插法对空洞及异常区域的高程进行模拟修复。并通过三维建模和实例应用评估其模拟质量。研究结果表明:回归与内插法误差较小、精度较高,所得DEM三维模型良好,能有效提高ASTER GDEM数据的完整性和可用性。

According to Regression Combine with Interpolation to Mend ASTER GDEM Data

This article mainly study how to solve the common no data or data abnormality problem in ASTER GDEM .At first, detecting the section which no data or data abnormality in ASTER GDEM using slope analysis together with density divide method .Then using SRTM DEM according to regression fusing combine with interpolation to simulate and mend the ASTER GDEM data .At Last, Evaluating the results through using the mended ASTER GDEM data to set up 3D model and Hydrological Model . The study results indicate that regression fusing and interpolation method can produce a less error margin and advanced precision data .The mended data is primly matched with Remote Sensing data and the Hydrological Model is reasonable. Above all, this method mended no data and abnormality section in ASTER GDEM improving the data integrality and applicability.