基于方差分量估计的正则化配置法及其在多源重力数据融合中的应用
Normalized Collocation Based on Variance Component Estimate and Its Application in Multi-source Gravity Data Fusion

DOI: 10.13203/j.whugis20140159

Keywords: 最小二乘配置,方差分量估计,Tikhonov正则化,多源重力数据,融合,
least square collocation,variance component estimating,Tikhonov normalizing,multi-source gravity data,data fusion

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Abstract:

针对信号与误差的方差分量不一致问题及协方差阵病态性问题，分别在多源重力数据最小二乘配置融合过程中引入方差分量估计方法及Tikhonov正则化方法，得到基于方差分量估计的正则化配置法，实际算例结果表明，利用该方法能够有效削弱上述问题，减小重力数据融合结果的系统差，提高数据融合的精度及可靠性

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