Wavelet Analysis In Remove-restore Theory -A Novel Application

摘要：

　　In order to improve the remove-restore theory,a novel algorithm based on wavelet analysis has been proposed in this paper.Through the similarity comparison between earth gravity field model and terrain correction,it is found that the model gravity anomalies contain some of high-frequency signals caused by terrain.Given this,the wavelet analysis theory has been introduced here to extract high-frequency signals of gravity anomalies.And then,add this result and the terrain correction together to form the residual gravity anomaly.Finally,based on the gravity data,DEM data and EGM96 model of some region,a high-accuracy geoid height of the region has been calculated,which proves the feasibility and effectiveness of our approach.

关键词： wavelet analysis remove-restore theory DEM

作者: Wang Zengli Liu Xuejun

作者单位: Key Laboratory of Virtual Geographic Environment,Ministry of Education,Nanjing Normal University,Nan Key Laboratory of Virtual Geographic Environment,Ministry of Education,Nanjing Normal University,Nan

会议类型: 国际会议

会议名称: The 33th Chinese Control Conference第33届中国控制会议

会议地点: 南京

会议语种:英文

页码: 9045-9047

在线出版日期: 2014-07-28（万方平台首次上网日期，不代表论文的发表时间）