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粗差检定的两种途径
Two Approaches to Gross Error Detection
【Author】 Liu Genyou, Hao Xiaoguang and Liu Lintao (Institute of Geodesy and Geophysics, CAS, Wuhan, Wuhan)
【机构】 中国科学院测量与地球物理研究所;
【摘要】 本文给出了解决粗差问题的两种计算方案:①将粗差作为待估参数,采用拟稳平差思路解秩亏问题,直接获得粗差;②选取部分观测值作为准现测值,采用部分最小二乘法获得待估参数,将非准观测值的残差作为粗差。结果表明,两种方案与“拟准检定法”具有相同的效果,具有粗差的现测值在平差时不起作用。
【Abstract】 Two approaches to gross error detection are proposed in this paper. The first approach is that the gross errors (G)are treated as parameters to be estimated, and using the idea of "Quasi-Stable adjustment" ( GTrGr = min ) to solve rank deficient problem. The second approach is that part observations are selected as accurate observations. The principle of partial least-square estimation ( VTrVr = min ) is used, and the residuals of the other observations are treated as gross errors. The results of these two approaches are same as QUAD(Quasi Accurate Detection), and the observations having gross errors no longer effect on the adjustment.
【Key words】 adjustment factor; gross errors; quasi-accurate observations; part least-square estimation; QUAD;
- 【会议录名称】 湖北省测绘学会2004年度科学技术交流会论文集
- 【会议名称】湖北省测绘学会2004年度科学技术交流会
- 【会议时间】2005-01
- 【分类号】P207.1
- 【主办单位】湖北省科学技术协会