2024
DOI: 10.31223/x5710x
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Using computer vision to detect and segment fire behavior classifications in UAS-captured images

Brett Lawrence,
Emerson de Lemmus

Abstract: The widely adaptable capabilities of artificial intelligence, in particular deep learning and computer vision has led to significant research output regarding fire and smoke detection. Previous studies often focus on themes like early fire detection, increased operational awareness, and post-fire assessment. To further test the capabilities of deep learning detection in these scenarios, we collected and labeled a unique aerial image dataset that determined whether specific types of fire behavior could be relia… Show more

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