Multi-objective optimisation of lidar parameters for forest-fire detection on the basis of a genetic algorithm |
| |
| Authors: | A. Cordoba R. Vilar A. Lavrov A. B. Utkin A. Fernandes |
| |
| Affiliation: | a Dep. de Fisica de la Materia Condensada, Universidad de Sevilla, Apartado 1065, Sevilla 41080, Spain;b Dep. de Engenharia de Materiais, Instituto Supérior Tecnico, Av. Rovisco Pais, Lisbon 1049-001, Portugal;c Russian Scientific Center “Applied Chemistry”, 14, Dobrolubov Ave., St.-Petersburg 197198, Russia;d Institute for Laser Physics, Birzhevaya 12, St.-Petersburg 199034, Russia |
| |
| Abstract: | 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. |
| |
| Keywords: | Author Keywords: Eye-safe lidar Forest fire detection Genetic algorithm |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
