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Multiple spectrum vision for wildland fires
Author(s): Moulay A. Akhloufi; Tom Toulouse; Lucile Rossi
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Paper Abstract

Wildland fires are considered one of the major natural risks affecting almost every country in the world. The impacts of these fires are huge in term of environmental, economic, and social losses. Experts estimate that with the climate change and global warming, we will witness an increase in the frequency and size of fires in the next years. In this paper, we will present the advances in the use of multiple spectrum computer vision to process, analyze and understand wildland fires behavior. We will introduce different multispectral technologies used in image capture, the techniques developed to detect and extract the fires from the images, and how multispectral fusion is used in the context of wildland fires. We will show our recent results using multiple multimodal stereovision systems where different modalities are combined to extract important fires characteristics in threedimensional space. Finally, we will discuss the use of UAVs to monitor fires at a larger scale.

Paper Details

Date Published: 14 May 2018
PDF: 12 pages
Proc. SPIE 10661, Thermosense: Thermal Infrared Applications XL, 1066105 (14 May 2018); doi: 10.1117/12.2305509
Show Author Affiliations
Moulay A. Akhloufi, Univ. de Moncton (Canada)
Tom Toulouse, Univ. di Corsica Pasquale Paoli, CNRS (France)
Lucile Rossi, Univ. di Corsica Pasquale Paoli, CNRS (France)


Published in SPIE Proceedings Vol. 10661:
Thermosense: Thermal Infrared Applications XL
Douglas Burleigh; Jaap de Vries, Editor(s)

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