Vestnik Moskovskogo universiteta. Matematika, mehanika, no. 3 (2011), pp. 36-42
Citer cet article
Yu. V. Bolotin; D. R. Doroshin. Adaptive filtering of airborne gravimetry data using hidden Markov models. Vestnik Moskovskogo universiteta. Matematika, mehanika, no. 3 (2011), pp. 36-42. http://geodesic.mathdoc.fr/item/VMUMM_2011_3_a6/
@article{VMUMM_2011_3_a6,
author = {Yu. V. Bolotin and D. R. Doroshin},
title = {Adaptive filtering of airborne gravimetry data using hidden {Markov} models},
journal = {Vestnik Moskovskogo universiteta. Matematika, mehanika},
pages = {36--42},
year = {2011},
number = {3},
language = {ru},
url = {http://geodesic.mathdoc.fr/item/VMUMM_2011_3_a6/}
}
TY - JOUR
AU - Yu. V. Bolotin
AU - D. R. Doroshin
TI - Adaptive filtering of airborne gravimetry data using hidden Markov models
JO - Vestnik Moskovskogo universiteta. Matematika, mehanika
PY - 2011
SP - 36
EP - 42
IS - 3
UR - http://geodesic.mathdoc.fr/item/VMUMM_2011_3_a6/
LA - ru
ID - VMUMM_2011_3_a6
ER -
%0 Journal Article
%A Yu. V. Bolotin
%A D. R. Doroshin
%T Adaptive filtering of airborne gravimetry data using hidden Markov models
%J Vestnik Moskovskogo universiteta. Matematika, mehanika
%D 2011
%P 36-42
%N 3
%U http://geodesic.mathdoc.fr/item/VMUMM_2011_3_a6/
%G ru
%F VMUMM_2011_3_a6
The paper studies the adaptive filtering of airborne gravimetry data on a survey line, where the inhomogeneous gravity in time is induced by the unknown structure of the Earth's core, topography, etc. Gravity is modeled by a hidden Markov chain with a finite number of states, each state corresponds to a certain type of the gravity profile. The problem under study is solved with consideration of the type of noises of the global positioning system.
