Multi-objective optimisation of lidar parameters for forest-fire detection on the basis of a genetic algorithm

A numerical model for the estimation of the laser pulse energy required for forest-fire detection with a predefined signal-to-noise ratio by an eyesafe lidar operating at wavelength of 1.54 μm is developed. This model is coupled with a genetic algorithm, which is used for multi-objective optimisatio...

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Bibliographic Details
Published inOptics and laser technology Vol. 36; no. 5; pp. 393 - 400
Main Authors Cordoba, A., Vilar, R., Lavrov, A., Utkin, A.B., Fernandes, A.
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 01.07.2004
Subjects
Eye-safe lidar
Forest fire detection
Genetic algorithm
Genetic algorithm
Eye-safe lidar
Forest fire detection
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Summary:A numerical model for the estimation of the laser pulse energy required for forest-fire detection with a predefined signal-to-noise ratio by an eyesafe lidar operating at wavelength of 1.54 μm is developed. This model is coupled with a genetic algorithm, which is used for multi-objective optimisation of the fitness function (weighted sum of laser price, telescope price, and surveillance time) using telescope diameter and laser beam divergence as independent variables.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0030-3992
1879-2545
DOI:10.1016/j.optlastec.2003.10.010