A method of hidden Markov model optimization for use with geophysical data sets

摘要: Geophysics research has been faced with a growing need for automated techniques which to process large quantities of data. A successful tool must meet number requirements: it should be consistent, require minimal parameter tuning, and produce scientifically meaningful results in reasonable time. We introduce hidden Markov model (HMM)-based method analysis geophysical data sets that attempts address these issues. Our improves on standard HMM methods is based the systematic structural local maxima objective function. Preliminary as applied geodetic seismic records are presented.