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基于DEM数据的不同网格化方法鲁棒性研究
网格化 插值 滤波 鲁棒性
2019/1/4
利用含有不同误差水平的DEM数据的50%随机采样作为输入数据,解算了4种常用数据网格化方法的插值效果和滤波效果,并对4种方法的抗差性及鲁棒性进行了分析。结果显示,最小曲率方法(MC)的抗差性最好,克里格(Kriging)方法、径向基函数法(RBF)和基于线性插值的三角网法(TLI)的滤波标准差和插值标准差的差异较为微弱,而最小曲率方法(MC)的插值效果要稍强于滤波效果;通过计算附加±15 m误差的...
Fully Automatic DEM Deformation Detection Without Control Points Using Differential Model Based
3D matching deformation detection digital elevation model differential model Least Z-Difference Algorithm
2015/5/28
An attractive, but very difficult research topic is automatic DEM deformation detection without control points. The technique is essential for multi-temporal remote sensing applied in, e.g., soil-eros...
Comparison of DEM Generation from SPOT Stereo and ERS Interferometric SAR Data
Comparison of DEM Generation SPOT Stereo ERS Interferometric SAR Data
2014/4/15
Comparison of DEM Generation from SPOT Stereo and ERS Interferometric SAR Data。