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Proceedings Paper

Characterization and identification of smoke plume for early forest fire detection
Author(s): John Saghri; John Jacobs; Daniel Kohler; Tim Davenport; Georges Moussa
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Paper Abstract

Characterization and discrimination of fire smoke for a land-based early forest fire detection system are discussed. Preliminary results of several fire plume identification schemes applied to multispectral video data obtained from a number of controlled fire experiments are presented. The temporal, spectral, and spatial signatures of the fire are exploited. The methods discussed include: (1) range filtering followed by entropy filtering of the infrared (IR) video data, (2) dual range moving average differencing followed by principal component analysis (PCA) of IR video data, and (3) PCA of visible color video data followed by texture analysis and segmentation. The three schemes presented are tailored to detect the fire core, the heat plume, and the smoke, respectively.

Paper Details

Date Published: 15 October 2012
PDF: 9 pages
Proc. SPIE 8499, Applications of Digital Image Processing XXXV, 84991J (15 October 2012); doi: 10.1117/12.930755
Show Author Affiliations
John Saghri, California Polytechnic State Univ., San Luis Obispo (United States)
John Jacobs, Raytheon Space & Airborne Systems (United States)
Daniel Kohler, California Polytechnic State Univ., San Luis Obispo (United States)
Tim Davenport, California Polytechnic State Univ., San Luis Obispo (United States)
Georges Moussa, California Polytechnic State Univ., San Luis Obispo (United States)


Published in SPIE Proceedings Vol. 8499:
Applications of Digital Image Processing XXXV
Andrew G. Tescher, Editor(s)

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