Scalable Fire and Smoke Segmentation from Aerial Images Using Convolutional Neural Networks and Quad-Tree Search

Autonomous systems can help firefighting operations by detecting and locating the fire spot from surveillance images and videos. Similar to many other areas of computer vision, Convolutional Neural Networks (CNNs) have achieved state-of-the-art results for fire and smoke detection and segmentation....

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Detalles Bibliográficos
Autores principales: Perrolas, Gonçalo, Niknejad, Milad, Ribeiro, Ricardo, Bernardino, Alexandre
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8914650/
https://www.ncbi.nlm.nih.gov/pubmed/35270848
http://dx.doi.org/10.3390/s22051701

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8914650/
https://www.ncbi.nlm.nih.gov/pubmed/35270848
http://dx.doi.org/10.3390/s22051701

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