The real-time monitoring of volcanic ash is a challenging task, which has been seriously considered in recent years by many institutions handling real needs of urban and air traffic authorities. In this paper a vision-based methodology is presented, which aims to provide a real-time analysis and estimation of specific features characterizing volcanic ash. The measurement methodology is discussed, together with the development of a sensing node prototype. An experimental survey has been performed in order to characterize the system performances and to asses its robustness. A resolution of 23.6 mu m has been estimated which matches specifications driven by the addressed application.

Robustness Investigation of a Particle Analyzer for the Analysis of Volcanic Ash

Ando', Bruno;Baglio, Salvatore;Castorina, Salvatore;Graziani, Salvatore;Marletta, Vincenzo;
2023-01-01

Abstract

The real-time monitoring of volcanic ash is a challenging task, which has been seriously considered in recent years by many institutions handling real needs of urban and air traffic authorities. In this paper a vision-based methodology is presented, which aims to provide a real-time analysis and estimation of specific features characterizing volcanic ash. The measurement methodology is discussed, together with the development of a sensing node prototype. An experimental survey has been performed in order to characterize the system performances and to asses its robustness. A resolution of 23.6 mu m has been estimated which matches specifications driven by the addressed application.
2023
volcanic ash
sensor network
image processing
system characterization
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11769/595277
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