Multiple spectrum vision for wildland fires

Moulay A. Akhloufi; Tom Toulouse; Lucile Rossi

doi:10.1117/12.2305509

14 May 2018 Multiple spectrum vision for wildland fires

Moulay A. Akhloufi, Tom Toulouse, Lucile Rossi

Proceedings Volume 10661, Thermosense: Thermal Infrared Applications XL; 1066105 (2018) https://doi.org/10.1117/12.2305509
Event: SPIE Commercial + Scientific Sensing and Imaging, 2018, Orlando, FL, United States

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.

Citation Download Citation

Moulay A. Akhloufi, Tom Toulouse, and Lucile Rossi "Multiple spectrum vision for wildland fires", Proc. SPIE 10661, Thermosense: Thermal Infrared Applications XL, 1066105 (14 May 2018); https://doi.org/10.1117/12.2305509

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