基于选权迭代法的DEM粗差探测

DEM Gross Error Detection Based on Selecting Weight Iteration Method

在数字高程模型(DEM)数据采集和处理中,探测和剔除DEM数据中存在的粗差尤为重要。尝试把抗差估计的思想纳入到DEM粗差探测的算法中,探讨对模型误差,特别是粗差具有抵抗能力的基于稳健估计的选权迭代法的粗差探测方法。在数据中随机加入误差,通过对比最小二乘平差算法验证选权迭代法的有效性及稳健性。实验结果表明,基于稳健估计的选权迭代法具有良好的粗差探测能力。

In the collection and processing of DEM data, the test and delete of gross error in DEM data is very important. It tries to bring the robust estimation principle into DEM gross error detection, the model error, especially the method of selecting weight iteration which based on robust estimation and the error has resistance capability is discussed. It joins random error, the efficiency and robustness are tested by compare the least square adjustment. The testing results show the method based on robust estimation has good gross error detec- tion capability.