Automatic Offset Detection in GPS Time Series by Change Point Approach

Giuseppe Nunnari, Flavio Cannavo

Abstract

This paper deals with the problem of automatic detection of offsets in GPS time series, which is of interest both in active volcanic and tectonic areas, where they often signal either the opening of eruptive fissures or seismic and aseismic dislocations. The problem is tackled by using the Change Point Detection (CPD) approach. Results show that CPD algorithms are suitable both in off-line and on-line frameworks. In particular, we show that CPD algorithms could contribute to the implementation of a warning system of volcanic intrusive activity.

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Paper Citation


in Harvard Style

Nunnari G. and Cannavo F. (2019). Automatic Offset Detection in GPS Time Series by Change Point Approach.In Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-989-758-380-3, pages 377-383. DOI: 10.5220/0007951503770383


in Bibtex Style

@conference{icinco19,
author={Giuseppe Nunnari and Flavio Cannavo},
title={Automatic Offset Detection in GPS Time Series by Change Point Approach},
booktitle={Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2019},
pages={377-383},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007951503770383},
isbn={978-989-758-380-3},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - Automatic Offset Detection in GPS Time Series by Change Point Approach
SN - 978-989-758-380-3
AU - Nunnari G.
AU - Cannavo F.
PY - 2019
SP - 377
EP - 383
DO - 10.5220/0007951503770383