摘要
本文首先通过延拓至地面的航空重力数据拟合出局部协方差函数，并以此作为整个航空重力测区的协方差函数。针对两种地面数据布设方案，利用最小二乘配置对航空重力数据和地面数据进行融合处理。结果表明通过融合能够有效地估计出航空重力数据中存在的系统偏差，格网数据的精度也有所提高，通过比较分析选取了合适的协方差函数参数，对不同参数及观测噪声大小对最终结果的影响进行了探讨。
The covariance function of a local area is estimated by using airborne data and verified by real terrestrial data. Considering the two schemes of land data, the combination of airborne and land gravity data is computed by least squares collocation method. It is shown that the systematic error is estimated and the accuracy of the airborne data is also improved by the data combination. The parameters of covariance function and the influences of different noisy quantity are analyzed.
出处
《测绘科学与工程》
2008年第1期10-14,共5页
Geomatics Science and Engineering
关键词
最小二乘配置
协方差函数
系统偏差
least squares collocation
covariance function
systematic deviation
