An outlier recognition approach in surveying data based on information entropy

被引：1

作者：

史玉峰

靳奉祥

机构：

[1] College of Geoscience Information and Engineering

[2] Shandong University of Science & Technology Shandong University of Technology

[3] Zibo

[4] China

[5] Shandong University of Science & Technology

[6] Tai'an

来源：

Journal of Coal Science & Engineering(China) | 2003年 / 01期

关键词：

Information entropy; surveying data; outlier recognition;

D O I：

暂无

中图分类号：

TD17 [矿山测量与制图];

学科分类号：

0816 ;

摘要：

A novel outlier recognition method in surveying data is presented based on Shannon information entropy. The probability distribution of surveying data does not need to be known or hypothesized in this method, and it is not only accurate but also convenient to calculate in this method compared with statistical recognition method.

引用

页码：100 / 103

页数：4