摘要
大地测量中数值逼近模型可分为两类:函数模型与统计模型,两种类型各有优、缺点。函数模型逼近一般求定逼近场的系统性或某种规律性趋势。统计模型逼近的主要特点是计算灵活,尤其对稳态随机过程的逼近效果较好。试图将二者有机地结合起来,以便充分利用函数模型逼近的规律性和统计模型逼近的灵活性,从而提高待求量的精度和可靠性。并通过实际算例证明将两者结合起来可有效改善拟合效果。
Two types of models have been widely used in geodetic computation： function model and statistical model. The former is suitable for approaching the trends and systematic variations, and the latter is flexible for homogeneous and isotropic stochastic process. In this paper, we try to make full use of the two models in a comprehensive way to improve the precision and reliability. Moreover, practical computations＇ have proved that this method can improve the effect of collocation.
出处
《海洋测绘》
2007年第5期8-10,18,共4页
Hydrographic Surveying and Charting
关键词
高程异常
函数模型
统计模型
综合模型
abnormal height
function model
statistical model
synthetical model
