An approach for the compensation of the background variability in fire detection systems

Infrared Physics and Technology

Volumn 42, Issue 1, 2001, Pages 23-30

  Ugarte, M F ^a   Zequeira, R I ^a   Lopez F ^a  

^a UNIVERSIDAD CARLOS III DE MADRID   (Spain)

Author keywords

Detection probability; Fire detection algorithm; Forest fire

Indexed keywords

EID: 0347668713     PISSN: 13504495     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1350-4495(00)00064-5     Document Type: Article

References (14)

1. G.P. Ellrod, R.V. Achutuni, J.M. Daniels, E.M. Prins, J.P. Nelson, An assessment of GOES-8 imager data quality, Bulletin of the American Meteorological Society 79 (11) (1998) 2509-2526.
2. Y. Kant, V.K. Prasad, K.V.S. Baradinath, Algorithm for detection of active fire zones using NOAA AVHRR data, Infrared Physics & Technology 41 (2000) 29-34.
3. S.Y. Foo, A machine vision approach to detect and categorize hydrocarbon fires in aircraft dry bays and engine compartments, IEEE Transactions on Industry Applications 36 (2) (2000) 459-466.
4. G. Healey, D. Slater, T. Lin, B. Drda, A. Donald Goedeke, A system for real-time detection, IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CA, USA, 1993, pp. 605-606.
5. Y.J. Kauffman, C.J. Tucker, I. Fung, Remote sensing of biomass burning in the tropics, Journal of Geophysical Research 95 (1990) 9895-9939.
6. P.J. Kennedy, A.S. Beiward, J.M. Grégoire, An improved approach to fire monitoring in West Africa using AVHRR data, International Journal of Remote Sensing 15 (11) (1993) 2225-2235.
7. J.L. Wybo, A. Jaber, DEDICS: a distributed environmental disaster information and control system, Proceedings of TIEMEC'96, Montreal, 1996.
8. A. Ollero, B.C. Arrue, J.R. Martinez, J.J. Murillo, Techniques for reducing false alarms in infrared forest-fire automatic detection systems, Control Engineering and Practice 7 (1999) 123-131.
9. R. Lasaponara, V. Cuomo, N. Pergola, C. Pietrapertosa, V. Tramutoli, Fire-detection by AVHRR: toward a new generalized approach for operational monitoring, SPIE 3499, 1998.
10. R. Lasaponara, V. Cuomo, V. Tramuloli, Satellite forest fire detection in the Italian ecosystems using AVHRR data, III International Conference on Forest Fire Research, 14th Conference on Fire and Forest Meteorology, vol. II, Luso, 1998, pp. 2013-2028.
11. S.P. Flasse, P. Ceccato, A contextual algorithm for AVHRR fire detection, International Journal of Remote Sensing 17 (2) (1996) 417-424.
12. J. Minkoff, Signals, Noise & Active Sensors. Radar, Sonar, Laser Radar, Wiley, USA, 1992.
13. R.G. Driggers, P. Cox, T. Edwards, Introduction to Infrared and Electro-Optical Systems, Artech House, MA, USA, 1999.
14. M.F. Ugarte, A.J. de Castro, S. Briz, J.M. Aranda, F. Lopez, Automatic and autonomous infrared system for remote sensing of forest fires, Review of Scientific Instruments 71 (10) (2000) 3657-3661.