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.

Fast displacements detection techniques considering mass-market GPS L1 receivers / Dabove, Paolo; Manzino, Ambrogio Maria. - STAMPA. - 741:(2017), pp. 1-14. [10.1007/978-3-319-62618-5_1]

Fast displacements detection techniques considering mass-market GPS L1 receivers

Dabove, Paolo;Manzino, Ambrogio Maria
2017

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.
9783319626178
Geographical information systems theory, applications and management
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11583/2691872
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