The Method of Using Information Entropy Theory to Estimate Surveying Gross Error

摘要：

The estimated rule of gross error we formerly used is statistics, which presumes that the data obey a kind of normal and then examines whether the survey data contain gross error. This method, requiring large sample of figures, means sufficient survey times and infinite number of survey data, however, the realistic conditions limit the number of obtained data, which may lead to the uncertainty of distribution. Considering the above-mentioned, information entropy theory is an attempt to eliminate gross error. The estimation based on information entropy needs no limitation of the number of survey data. There is also no requirement of data distribution.

关键词： gross error information entropy

作者: LAN Yueming

作者单位: School of Geodesy and Geomatics,Wuhan University,129 Luoyu Road, Wuhan, China, 430079

会议类型: 国际会议

会议名称: 第七届国际测试技术研讨会

会议地点: 北京

会议语种:英文

在线出版日期: 2007-08-05（万方平台首次上网日期，不代表论文的发表时间）