Convolutional neural network for smoke and fire semantic segmentation

Convolutional neural network for smoke and fire semantic segmentation

Abstract In recent decades, global warming has contributed to an increase in the number and intensity of wildfires destroying millions hectares of forest areas and causing many casualties each year. Firemen must therefore have the most effective means to prevent any wildfire from breaking out and to...

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Bibliographic Details
Main Authors: Sebastien Frizzi, Moez Bouchouicha, Jean‐Marc Ginoux, Eric Moreau, Mounir Sayadi
Format: Article
Language:English
Published: Wiley 2021-02-01
Series:IET Image Processing
Subjects:
Atmosphere (environmental science)
Data and information; acquisition, processing, storage and dissemination in geophysics
Instrumentation and techniques for geophysical, hydrospheric and lower atmosphere research
Image recognition
Geophysical techniques and equipment
Computer vision and image processing techniques
Online Access:https://doi.org/10.1049/ipr2.12046

Internet

https://doi.org/10.1049/ipr2.12046

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