Fire scene segmentations for forest fire characterization: A comparative study

Abstract

Forest fires constitute one of the most damaging natural disaster for many countries around the world. Its mechanisms can be studied through forest fire metrology. Despite a large number of proposed algorithms for fire detection, only few works adress the segmentation problem in fire metrology. The main purpose of this paper is to introduce a SVM-based segmentation method for forest fire metrology. This method is confronted with state-of-the-art fire segmentation algorithms using supervised evaluation criteria and an ad hoc expertised picture database. The obtained results highlight the good performances of the proposed method compared to prior algorithms.