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Proceedings Paper

Automatic recognition of smoke-plume signatures in lidar signal
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Paper Abstract

A simple and robust algorithm for lidar-signal classification based on the fast extraction of sufficiently pronounced peaks and their recognition with a perceptron, whose efficiency is enhanced by a fast nonlinear preprocessing that increases the signal dimension, is reported. The method allows smoke-plume recognition with an error rate as small as 0.31% (19 misdetections and 4 false alarms in analyzing a test set of 7409 peaks).

Paper Details

Date Published: 17 April 2009
PDF: 8 pages
Proc. SPIE 7131, XVII International Symposium on Gas Flow, Chemical Lasers, and High-Power Lasers, 71312K (17 April 2009); doi: 10.1117/12.816520
Show Author Affiliations
Andrei B. Utkin, INOV-- Inesc Inovação (Portugal)
Alexander Lavrov, INOV-- Inesc Inovação (Portugal)
Rui Vilar, Instituto Superior Técnico, Univ. Técnica de Lisboa (Portugal)


Published in SPIE Proceedings Vol. 7131:
XVII International Symposium on Gas Flow, Chemical Lasers, and High-Power Lasers
Rui Vilar; Olinda Conde; Marta Fajardo; Luís O. Silva; Margarida Pires; Andrei Utkin, Editor(s)

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