Advanced signal processing based on support vector regression for lidar applications-Reference-Cited by-同舟云学术

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Advanced signal processing based on support vector regression for lidar applications

Published:2015-10-15 Issue: Volume: Page:
ISSN:0277-786X
Container-title:SPIE Proceedings
language:
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Author:

Gelfusa M.,Murari A.,Malizia A.,Lungaroni M.,Peluso E.,Parracino S.,Talebzadeh S.,Vega J.,Gaudio P.

Publisher

SPIE

Reference21 articles.

1. A study on forest fire automatic detection system,2 – smoke plume detection performance, Il Nuovo Cimento;Andreucci,1993

2. A study on forest fire automatic detection system, Il Nuovo Cimento;Andreucci,1993

3. C. Bellecci, M. Francucci, P. Gaudio, M. Gelfusa, S. Martellucci, M. Richetta, T. Lo Feudo, Appl. Phys. B 87, 373 (2007).

4. Early detection of small forest fire by Dial technique;Bellecci,2005

5. In-cell measurements of smoke backscattering coefficients using a CO₂ laser system for application to lidar-dial forest fire detection

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1. Experimental Real-Time Tracking and Numerical Simulation of Hazardous Dust Dispersion in the Atmosphere;Enhancing CBRNE Safety & Security: Proceedings of the SICC 2017 Conference;2018

2. H-Infinity Control in Coherent Wind Measurement Lidar Signal Processing;Circuits, Systems, and Signal Processing;2017-11-23

3. On determining the prediction limits of mathematical models for time series;Journal of Instrumentation;2016-07-26

4. New analysis methods to push the boundaries of diagnostic techniques in the environmental sciences;Journal of Instrumentation;2016-04-29

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