利用移去-恢复法先移去地球重力场模型中的中长波信息,得到更加平滑的剩余重力高程异常;然后,利用同时顾及测量误差和模型误差的最小二乘配置法,比较了不同协方差函数对拟合结果的影响。研究表明,对于大面积高程异常值变化较大的地区,高斯函数和似高斯函数能够取得较高的拟合精度;对于依赖各点之间协方差值的最小二乘配置法而言,采用移去-恢复能够有效提高拟合精度。
For improving precision, a removing-recovering method is used to remove the long wave information of earth gravity field model to get more smooth residual gravity height anomaly, and compared the influence of different covariance function on the fitting results of least square collocation which take measurement error and model error into account. The results show that Gaussian recovering and resemble Gaussian function can achieve higher fitting precision for a large area with height anomaly value changes significance;the remove-restore method can effectively improve the fitting precision to least square collocation method which depend on the covariance value of each points.