Wildfire and smoke early detection for drone applications: A light-weight deep learning approach-Reference-Cited by-同舟云学术

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Wildfire and smoke early detection for drone applications: A light-weight deep learning approach

Published:2024-10 Issue: Volume:136 Page:108977
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Kumar Abhinav,Perrusquía Adolfo^ORCID,Al-Rubaye Saba,Guo Weisi

Publisher

Elsevier BV

Reference46 articles.

1. An improvement of the fire detection and classification method using YOLOv3 for surveillance systems;Abdusalomov;Sensors,2021

2. An improved forest fire detection method based on the detectron2 model and a deep learning approach;Abdusalomov;Sensors,2023

3. Unmanned aerial vehicles for wildland fires: Sensing, perception, cooperation and assistance;Akhloufi;Drones,2021

4. Fire detection in video sequences using a generic color model;Celik;Fire Saf. J.,2009

5. Rethinking atrous convolution for semantic image segmentation;Chen,2017

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