The Research On Airborne Gravity Data Denoising Method And GeoProbe Platform Plug-in Implementation

The research on airborne gravity exploration in China started late,and there are still large gaps at home and aboard in the key technologies,such as basic theory,hardware,software.At present,the Russian GT system introduced to our country in 2006 is in the international leading position in airborne gravity measurement and data processing.Since 2006,GT has occupied the dominant position in the field of airborne gravity measurement in China.The system of GT adopts the "black box" mode,in which the algorithm and process are not visible.Some teams studied the system during the period of "11th five-year plan",however,they can't make the inner coincidence of repeat surveying lines less than 1 mGal,which is unable to meet the demand of technologies.In order to promote the development of airborne gravity data processing technology in China,this dissertation studied filtering technologies in airborne gravity deeply.After researching common filters,combined with the characteristics of airborne gravity data,I chose kalman filter for denoising airborne gravity data.At the same time,I collected the research achievements during the "11th five-year plan" period and reference material about GT from AGRS.Having carried out a systematic study of GT,I built the state equations and measurement equation of kalman filter for the system.Then,I put forward the process of determining airborne gravity anomaly along flight path and completed the construction of the system,which sets data synchronization,gravity correction(including GPS antenna offset correction,free air correction,normal gravity correction,Eotvos correction,horizontal acceleration correction,zero drift correction and base correction)and kalman filter as a whole.Finally,I used C++ and C# language to realize the program and visualization of my system.Now,the system has been integrated into GeoProbe Mager 3.0 geophysical data processing software platform for not only taking full advantage of the data management resources of the platform but also enriching its data processing function.So far,I have tested my system by using 30 sorties data from 5 research areas,including Dalian,Tianjin,south yellow sea,Huayangchuan and Sanya.And I compared the processing results with GT: in the land area,the difference of the inner coincidence of repeat surveying lines between my system and GT is about 0.03 mGal,while in the sea area,the difference is only 0.003 mGal,and especially,the results are better than GT in some area,such as Dalian.The test results show that my system has a great progress compared with the previous research results,and the processing effect is equivalent to the GT system,which meets actual technical requirements.