Method of airborne gravimetry data processing with respect to the gravitational anomaly spatial inhomogeneity
AbstractThe airborne gravimetry problem with respect to it’s statistical spatial nonhomogeneity is considered. The problem reduces to the estimation problem for state space systems with jumps. The application of method of gravity anomaly and noise parameters estimation based on solving the identification problem for the moving averages mixture model with Markov jumps is considered. The solution of the identification problem allows to apply the optimal Kalman smoother for the anomaly estimation on the survey flight line. The results of the testing this technique on flight data are presented.
Keywords:gravimetry; gravity anomaly; hidden markov models; mjls; training; recognition; kalman filter;