测量平差模型误差的验后检验
Aposteriori Detection of Model Error in Surveying Adjustment
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摘要: 提出了一种将间接平差模型转换为条件平差模型的参数消去方法.该方法通过消去间接平差模型中的 所有参数,将其转换为条件平差模型,解决了条件方程式的计算机自动建立问题.在此基础上,给出了基于条件 方程闭合差的粗差检测和定位方法,并用实例验证了它的可行性.该方法可检验控制网极条件和坐标条件在内 的所有检核条件,增强平差系统检验粗差和定位粗差的能力,较好地解决测量控制网闭合环自动搜索一类基本 问题.Abstract: A parameter elimination method to convert a parameter adjustment model to a condition adjustment model was brought forward. Using this method, a parameter adjustment model can be changed into a condition adjustment model through eliminating all the parameters in the parameter adjustment model. As a result, condition equations can be automatically established with computers. Based on the above research, the approach of outlier detecting and locating with the closing errors of condition equations was given. In addition, the feasibility of this method was proved by an example. The result shows that this method can test all the checkout conditions including side and coordinate conditions, raise the capability of outlier detecting and locating in an adjustment system, and make the searching of closed loops in a surveying network realized satisfactorily with computers.
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Key words:
- surveying adjustment /
- aposteriori detection /
- outlier
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