Method of DEM Deformation Detection without Control Points Based on Differential Model
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摘要: 为了提高现有方法的性能,提出了基于差分模型的无控制数字高程模型(DEM)差异探测的新方法,并成功地用于普歪沟泥石流地区地表变形探测(该区变形面积超过50%).该方法在LZD算法(最小高差法)的基础上引入差分模型,兼顾了观测值的数值及其相互关系的影响,显著提了高算法的差异探测性能.结果表明,新方法的匹配精度比目前代表性的采用M-估计的LZD算法(M-LZD)和采用最小平方中位数的LZD算法(LMS-LZD)的精度高.Abstract: To improve the performance of the existing deformation detecting algorithms,a novel method based on the differential model was proposed for DEM(digital elevation model) deformation detecting without control points.In addition,it has been successfully used to the deformation detecting of Puwaigou,a debris region with a deformation proportion of over 50%.This method is based on the LZD(least Z-difference) algorithm,as a result,both the magnitude and the relationship of observations can be taken into account by introducing the differential model to greatly improve the ability of deformation detecting.The research result shows that its matching accuracy is higher than that of the M-LZD(LZD using M-estimator) and LMS-LZD(LZD using least-median-of-squares estimator) algorithms.
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