摘要
针对航空物探测量中出现的GPS时间与经纬度坐标数据不更新、外界磁干扰造成磁尖峰异常等问题,提出根据测量数据特征设定数据阈值及梯度阈值进行快速检测的算法,检测出跳变点后,应用非跳变点数据对跳变点进行1D插值拟合,得到修正后的数据。本文利用C++语言实现了上述快速检测算法及6种1D插值拟合算法,并采用插件技术在Geo Probe平台研发了相应的软件插件模块。该插件为航空物探跳变点数据快速检测与修复,提供了有效的工具。
In this paper,the authors proposed a rapid detection algorithm to deal with some problems existent in aero geophysical survey,such as failure to update GPS time and data of latitude and longitude,and abnormal magnetic peak caused by external magnetic disturbance. The algorithm utilizes threshold of raw data and its gradients based on characteristics of the observed data to conduct rapid detection. When the jump point is determined,one dimensional interpolation is computed with normal data nodes to replace the jump point. In this paper,the proposed algorithm was accomplished with C ＋ ＋ language. Meanwhile,and other six one-dimensional interpolation fitting methods were calculated for comparison. Moreover,the authors developed plug- in modules for these algorithms on the platform of Geo Probe. The plug- in modules on Geo Probe provide effective tools for the detection and repairing of jump points in airborne geophysical prospecting.
出处
《物探与化探》
CAS
CSCD
2015年第B12期133-136,共4页
Geophysical and Geochemical Exploration
基金
国家高科技研究发展计划项目“航空地球物理遥感综合探测技术与解释系统研究”(2013AA063905)
海洋地质保障工程综合数据库建设(航遥中心)(GZH201200513)
国家高技术研究发展计划(“863”计划)项目(2011AA060501)
关键词
尖峰异常
跳变点
快速检测
插件
GeoProbe
aero geophysical survey
peak anomaly
jump point
rapid detection
plug-in
GeoProbe
