Forest Flame Detection in Unmanned Aerial Vehicle Imagery Based on YOLOv5
Forest Flame Detection in Unmanned Aerial Vehicle Imagery Based on YOLOv5
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Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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One of the major responsibilities for forest police is forest fire prevention and forecasting; therefore, accurate and timely fire detection is of great importance and significance. We compared several deep learning networks based on the You Only Look Once (YOLO) framework to detect forest flames with the help of unmanned aerial vehicle (UAV) image...
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Forest Flame Detection in Unmanned Aerial Vehicle Imagery Based on YOLOv5
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TN_cdi_doaj_primary_oai_doaj_org_article_c79c49dbbe5a4a5c8d48c6b153ec04b3
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_c79c49dbbe5a4a5c8d48c6b153ec04b3
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ISSN
2571-6255
E-ISSN
2571-6255
DOI
10.3390/fire6070279
