摘要
提出了一种基于球冠谐模型的抗差岭估计数据融合算法,并通过数值计算对算法的有效性进行验证。结果表明融合后的球冠谐模型不仅能够抵抗系数阵的病态性,而且能够有效地消除观测粗差的影响。最后就观测噪声大小对融合结果的影响进行了探讨。
A robust ridge estimation multi-source data fusion algorithm is proposed based on spherical cap harmonic analysis.The effectiveness is verified through numerical calculations.It is shown that this fused model can not only resist the ill-conditioning of coefficients array but also eliminate the observation errors.Finally,it is analyzed the influence of the observation noise size on the fusion results.
出处
《测绘学报》
EI
CSCD
北大核心
2015年第9期952-957,共6页
Acta Geodaetica et Cartographica Sinica
基金
海洋公益性行业科研专项经费(201305029-02)~~
关键词
球冠谐分析
最小二乘法
抗差岭估计
球谐模型
边界效应
spherical cap harmonic analysis
least squares
robust ridge estimation
spherical harmonic model
boundary effect