A study of the rapid testing and restoring technology for data of aero geophysical survey
WANG Lin-Fei1, XUE Dian-Jun1, LIU Guo-Feng2, LUO Yao1, GUO Can-Can1,2
1. China Aero Geophysical Survey and Remote Sensing Center for Land and Resources, Beijing 100083, China;
2. School of Geosciences and Information Technology, China University of Geosciences, Beijing 100083, China
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 GeoProbe. The plug-in modules on GeoProbe provide effective tools for the detection and repairing of jump points in airborne geophysical prospecting.
王林飞, 薛典军, 刘国锋, 骆遥, 郭灿灿. 航空物探测量数据快速检测与修复技术研究[J]. 物探与化探, 2015, 39(S1): 133-136.
WANG Lin-Fei, XUE Dian-Jun, LIU Guo-Feng, LUO Yao, GUO Can-Can. A study of the rapid testing and restoring technology for data of aero geophysical survey. Geophysical and Geochemical Exploration, 2015, 39(S1): 133-136.
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