Browse > Article

FastXcorr : FORTRAN Program for Fast Cross-over Error Correction of Marine Geophysical Survey Data  

Kim, Kyong-O (Petroleum and Marine Resources Research Division, Korea Institute of Geoscience & Mineral Resonances)
Kang, Moo-Hee (Petroleum and Marine Resources Research Division, Korea Institute of Geoscience & Mineral Resonances)
Gong, Gee-Soo (Petroleum and Marine Resources Research Division, Korea Institute of Geoscience & Mineral Resonances)
Publication Information
Economic and Environmental Geology / v.41, no.2, 2008 , pp. 219-223 More about this Journal
Abstract
Many cross-over errors due to position errors, meter errors, observation errors, sea conditions and so on occur when marine geophysical data collected by own and other agencies are merged, and these errors can create artificial anomalies which cause an improper interpretation. Many methods have been introduced to reduce cross-over errors. However, most methods are designed to compare each point or segment data to find cross-over points, and require a long processing time. Therefore, FORTRAN program (FastXcorr) is presented to fast determine cross-over points using an overlap-sector, and to adjust cross-over errors using a weighted linear interpolation algorithm.
Keywords
Cross-over error connection; Fast finding cross-over points; Overlap-sector; Weighted linear interpolation; FORTRAN;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 Catalao, J. and Sevilla, M.J. (2004) Inner and minimum constraint adjustment of marine gravity data. Computer & Geosciences, v.30, p.949-957   DOI   ScienceOn
2 Johnson, R.H. (1971) Reduction of discrepancies at crossing points in geophysical survey. Journal of Geophysical Research, v.76, p.4892-4896   DOI
3 Wessel, P. and Watts, A.B. (1988) On the accuracy of marine gravity measurements. Journal of Geophysical Research, v.93, p.393-413
4 Sander, E.L. and Mrazek, C.P. (1982) Regression technique to remove temporal variation from geomagnetic data. Geophysics, v.47, p.1437-1443   DOI   ScienceOn
5 Yanger, H.L., Robertson, R.R. and Wentland, R.L. (1978) Diurnal drift removal from aeromagnetic data. Geophysics, v.47, p.1148-1156
6 Hsu, S.K. (1995) XCORR : A cross-over techniques to adjust track data. Computer & Geosciences, v.21, p. 259-271   DOI   ScienceOn
7 Prince R.A. and Forsyth, D.W. (1984) A simple objective method for minimizing crossover errors in marine gravity data. Geophysics, v.49, p.1070-1083   DOI
8 Kang, M.H., Han, H.C., Kim, K.O., Sunwoo, D., Kim, J.H. and Gong, G.S. (2006) EZXover: C program to Reduce Cross-over Errors in Marine Geophysical Survey Data. Korea Society of Economic and Environmental Geology, v.39, p.229-234   과학기술학회마을
9 Foster, M.R., Jines, W.R. and Weg, K.V. D. (1970) Statistical estimation of systematic errors at intersections of lines of aeromagnetic survey data. Journal of Geophysical Research, v.75, p.1507-1511   DOI
10 Wessel, P. (1989) XOVER: a cross-over error detector for the track data. Computer & Geosciences, v.15, p.333- 346   DOI   ScienceOn
11 Mittal, P.K. (1984) Algorithm for error adjustment of potential field data along a survey network. Geophysics, v.49, p.467-469   DOI   ScienceOn