Paper
17 April 2009 Automatic recognition of smoke-plume signatures in lidar signal
Author Affiliations +
Proceedings Volume 7131, XVII International Symposium on Gas Flow, Chemical Lasers, and High-Power Lasers; 71312K (2009) https://doi.org/10.1117/12.816520
Event: XVII International Symposium on Gas Flow and Chemical Lasers and High Power Lasers, 2008, Lisboa, Portugal
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).
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Andrei B. Utkin, Alexander Lavrov, and Rui Vilar "Automatic recognition of smoke-plume signatures in lidar signal", Proc. SPIE 7131, XVII International Symposium on Gas Flow, Chemical Lasers, and High-Power Lasers, 71312K (17 April 2009); https://doi.org/10.1117/12.816520
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Cited by 2 scholarly publications.
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KEYWORDS
LIDAR

Detection and tracking algorithms

Interference (communication)

Received signal strength

Signal detection

Surveillance

Backscatter

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