A hybrid contextual approach to wildland fire detection using multispectral imagery

IEEE Transactions on Geoscience and Remote Sensing

Volumn 43, Issue 9, 2005, Pages 2115-2125

  Li, Ying ^a,b   Vodacek, Anthony ^a,b   Kremens, Robert L ^a,b   Ononye, Ambrose ^a,b   Tang, Chunqiang ^a,c,d  

^a IEEE   (United States)

^b ROCHESTER INSTITUTE OF TECHNOLOGY   (United States)

^c IBM T J WATSON RESEARCH CENTER   (United States)

^d ACM   (Japan)

Author keywords

Anomaly detection; Mahalanobis distance; Multispectral images; Wildland fire detection

Indexed keywords

ANOMALY DETECTION; MULTISPECTRAL IMAGES; THERMAL INDEX; WILDLAND FIRE DETECTION;

ALGORITHMS; FIRE PROTECTION; IMAGE ANALYSIS; OPTICAL RESOLVING POWER; RADIOMETERS; SPECTROMETERS; STATISTICAL METHODS;

FIRE DETECTORS;

EID: 27744597259     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2005.853935     Document Type: Article

References (25)

1. 3Cl, and COS," Nature, vol. 282, pp. 253-256, 1979.
2. P. Crutzen and M. O. Andreae, "Biomass burning in the tropics: Impact on atmospheric chemistry and biogeochemical cycle," Science, vol. 250, pp. 1669-1678, 1990.
3. Y. J. Kaufman and R. S. Fraser, "The effect of smoke particles on clouds and climate forcing," Science, vol. 277, pp. 1636-1639, 1997.
4. Z. Li, "Influence of absorbing aerosols on the inference of solar surface radiation budget and cloud absorption," J. Clim., vol. 11, pp. 5-17, 1998.
5. R. A. Houghton and G. M. Woodwell, "Global climatic change," Sci. Amer., vol. 260, pp. 36-44, 1989.
6. H. A. Mooney, P. M. Vitousek, and P. A. Matson, "Exchange of materials between terrestrial ecosystems and the atmosphere," Science, vol. 238, pp. 926-932, 1987.
7. T. L. Clark, J. L. Coen, and D. Latham, "Description of a coupled atmosphere-fire model," Int. J. Wildland Fire, vol. 13, pp. 2783-2799, 1992.
8. J. Mandel, M. Chen, J. L. Coen, C. C. Douglas, L. Franca, C. Johns, R. Kremens, A. Puhalskii, A. Vodacek, and W. Zhao, "Dynamic data driven wildfire modeling," in Dynamic Data Driven Applications Systems, F. Darema, Ed. Amsterdam, The Netherlands: Kluwer, 2005, to be published.
9. J. Dozier, "A method for satellite identification of surface temperature fields of subpixel resolution," Remote Sens. Environ., vol. 11, pp. 221-229, 1981.
10. Y. J. Kaufman, C. O. Justice, L. P. Flynn, J. D. Kendall, E. M. Prins, L. Giglio, D. E. Ward, W. P. Menzel, and A. W. Setzer, "Potential global fire monitoring from EOS-MODIS," J. Geophys. Res., vol. 103, pp. 32 215-32 238, 1998.
11. L. Giglio, J. Descloitres, C. O. Justice, and Y. J. Kaufman, "An enhanced contextual fire detection algorithm for MODIS," Remote Sens. Environ., vol. 87, pp. 273-282, 2003.
12. R. Wright, L. Flynn, H. Garbeil, A. Harris, and E. Pilger, "Automated volcanic eruption detection using MODIS," Remote Sens. Environ., vol. 82, pp. 135-155, 2002.
13. L. R. Radke, T. L. Clark, J. L. Coen, C. Walther, R. N. Lockwood, P. J. Riggan, J. Brass, and R. Higgins, "The Wildfire Experiment (WiFE): Observations with airborne remote sensors," Can. J. Remote Sens.ing, vol. 26, pp. 406-417, 2000.
14. V. G. Ambrosia, S. S. Wegener, C. V. Sullivan, S. W. Buechel, S. E. Dunagan, J. A. Brass, and J. Stoneburner, "Demonstrating UAV-acquired real-time thermal data over fires," J. Amer. Soc. Photogramm. Remote Sens., vol. 69, pp. 391-402, 2003.
15. R. L. Kremens, J. Faulring, D. McKeown, M. Richardson, J. Cock-burn, G. Semeraro, and H. Rhody, "Wildfire airborne sensor project (WASP)," Photogramm. Eng. Remote Sens., 2004, submitted for publication.
16. P. H. Greenfield, W. Smith, and D. C. Chamberlain, "Phoenix-the new forest service airborne infrared fire detection and mapping system," presented at the 2nd Int. Wildland Fire Ecology and Fire Management Congr. and the 5th Symp. Fire and Forest Meteorology, Orlando, Florida, 2003.
17. E. M. Prins and W. P. Menzel, "Geostationary satellite detection of biomass burning in South America," Intl. J. Remote Sens., vol. 13, pp. 49-63, 2004.
18. P. J. Kennedy, A. S. Belward, and J. M. Gregoire, "An improved approach to fire monitoring in West Africa using AVHRR data," Int. J. Remote Sens., vol. 15, pp. 2235-2255, 1994.
19. D. Manolakies, C. Siracusa, D. Marden, and G. Shaw, "Hyperspectral adaptive matched filter detectors: Practical performance comparison," in Proc. SPIE, vol. 4381, 2001, pp. 18-33.
20. D. Kuan, A. Sawchuk, T. Strand, and P. Chavel, "Adaptive noise smoothing filter for images with signal-dependent noise," IEEE Trans. Pattern Anal. Mach. Intell., vol. PAMI-7, no. 2, pp. 165-177, 1985.
21. B. R. Hunt and T. M. Cannon, "Nonstationary assumptions of Gaussian models of images," IEEE Trans. Syst., Man, Cybern., vol. SMC-6, pp. 876-881, 1976.
22. I. S. Reed and X. Yu, "Adaptive multiple-band CFAR detection of an optical pattern with unknown spectral distribution," IEEE Trans. Acoust., Speech, Signal Process., vol. 38, no. 10, pp. 1760-1770, Oct. 1990.
23. A. Margalit, I. Reed, and R. M. Gagliardi, "Adaptive optical target detection using correlated images," IEEE Trans. Aerosp. Electron. Syst., vol. AES-21, 1985.
24. R. J. Muirhead, Aspects of Multivariate Statistical Theory, 1st ed. New York: Wiley, 1982.
25. C. G. Rafael and E. Richard, Digital Image Processing, 3rd ed. Reading, MA: Addison-Wesley, 1992.