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Fast Displacements Detection Techniques Considering Mass-Market GPS L1 Receivers

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Geographical Information Systems Theory, Applications and Management (GISTAM 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 741))

Abstract

Fast displacements detection in real-time is a very high challenge due to the necessity to preserve buildings, infrastructures and the human life. In this paper this problem is addressed using some statistical techniques and a GPS mass-market receiver in real-time. Very often, most of landslides monitoring and deformation analysis are carried out by using traditional topographic instruments (e.g. total stations) or satellite techniques such as GNSS geodetic receivers, and many experiments were carried out considering these types of instruments. In this context it is fundamental to detect whether or not deformation exists, in order to predict future displacement. Filtering means are essential to process the diverse noisy measurements (especially if low cost sensors are considered) and estimate the parameters of interest. In this paper some results obtained considering mass-market GPS receivers coupled with statistical techniques are considered in order to understand if there are any displacements from a statistical point of view in real time. Instruments considered, tests, algorithms and results are herein reported.

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  1. Department of Environment, Land and Infrastructure Engineering, Politecnico di Torino, Corso Duca Degli Abruzzi 24, Turin, Italy

    Paolo Dabove & Ambrogio Maria Manzino

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  1. Paolo Dabove
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  2. Ambrogio Maria Manzino
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Correspondence to Paolo Dabove .

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  1. Polytechnic Institute of Setúbal/IPS, Setúbal, Portugal

    Cédric Grueau

  2. INSA Lyon, University of Lyon, Villeurbanne Cedex, France

    Robert Laurini

  3. Departamento de Informatica, Universidade do Minho, Braga, Portugal

    Jorge Gustavo Rocha

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Dabove, P., Manzino, A.M. (2017). Fast Displacements Detection Techniques Considering Mass-Market GPS L1 Receivers. In: Grueau, C., Laurini, R., Rocha, J. (eds) Geographical Information Systems Theory, Applications and Management. GISTAM 2016. Communications in Computer and Information Science, vol 741. Springer, Cham. https://doi.org/10.1007/978-3-319-62618-5_1

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