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Forest fire detection based on Gaussian field analysis

Florent Lafarge 1 Xavier Descombes 1 Josiane Zerubia 1 
1 ARIANA - Inverse problems in earth monitoring
CRISAM - Inria Sophia Antipolis - Méditerranée , Laboratoire I3S - SIS - Signal, Images et Systèmes
Abstract : The Thermical InfraRed (TIR) channel contains wave lengths sensitive to the emission of heat. The forest fires can be characterized by intensity peaks on TIR images. We present a fully automatic method of forest fi re detection from TIR satellite images based on the random fi eld theory. First, preprocessing is used to model the image as a realization of a Gaussian fi eld which presents interesting properties. The fire areas which are supposed to be a minority are considered as anomalies of that fi eld. We present a statistical analysis of Gaussian field to determine a degree of belonging of a cluster to the image background (i.e. a realization of a Gaussian fi eld). We then extend this application to the estimation of the fi re propagation direction.
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Submitted on : Monday, January 28, 2013 - 5:15:26 PM
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  • HAL Id : hal-00781765, version 1


Florent Lafarge, Xavier Descombes, Josiane Zerubia. Forest fire detection based on Gaussian field analysis. European Signal Processing Conference (EUSIPCO), Sep 2007, Poznan, Poland. ⟨hal-00781765⟩



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