Characterization and identification of smoke plume for early forest fire detection

摘要

Characterization and discrimination of fire smoke for a land-based early forest fire detection system arediscussed. Preliminary results of several fire plume identification schemes applied to multispectral videodata obtained from a number of controlled fire experiments are presented. The temporal, spectral, andspatial signatures of the fire are exploited. The methods discussed include: (1) range filtering followed byentropy filtering of the infrared (IR) video data, (2) dual range moving average differencing followed byprincipal component analysis (PCA) of IR video data, and (3) PCA of visible color video data followed bytexture analysis and segmentation. The three schemes presented are tailored to detect the fire core, the heatplume, and the smoke, respectively.© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.