首页 | 本学科首页   官方微博 | 高级检索  
     检索      

GPS动态监测数据优化分析及变形特征的提取
引用本文:陈向阳,高宝建.GPS动态监测数据优化分析及变形特征的提取[J].测绘科学,2012,37(5):52+118.
作者姓名:陈向阳  高宝建
作者单位:1. 南通职业大学建工系,江苏南通,226007
2. 南通大地测绘有限公司,江苏南通,226007
摘    要:GPS变形监测系统中的监测点的观测资料是与时间有关的信号序列,本文研究应用小波分析优化流程,结合苏通大桥GPS变形监测系统获取的监测点数据序列进行分析。结果表明,选择合适的小波基函数,对数据信号进行小波分解与重构,可以有效地从受到强噪声干扰的监测数据序列中提取有用的特征信号,较好解决了传统处理技术对GPS动态观测数据去噪以及特征信息提取的局限性。

关 键 词:GPS变形监测  消噪  小波分析  变形特征

GPS optimization analysis of dynamic monitoring data and extraction of deformation feature
CHEN Xiang-yang , GAO Bao-jian.GPS optimization analysis of dynamic monitoring data and extraction of deformation feature[J].Science of Surveying and Mapping,2012,37(5):52+118.
Authors:CHEN Xiang-yang  GAO Bao-jian
Institution:②(①Nantong Vocational College,Jiangsu Nantong 226007,China;②Nantong Dodi Surveying and Mopping Co.Ltd,Jiangsu Nantong 226007)
Abstract:The observation material of monitoring points in GPS deformation monitoring system is the time-related signal sequence.It is the analysis of data sequence of monitoring points obtained from Sutong bridge GPS deformation monitoring system using wavelet analysis optimization processes in the paper.The results showed that choosing the appropriate wavelet basis function,wavelet decomposition and reconstruction of the data signals could effectively extract useful signals of features from the monitoring data sequence interfered by strong noise,which would help solve the limitations of traditional solving technology in de-noising GPS dynamic observation data and extraction of feature information.
Keywords:GPS deformation monitoring  de-noising  wavelet analysis  deformation feature
本文献已被 CNKI 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号