Cargando…
Full-Scale Fire Smoke Root Detection Based on Connected Particles
Smoke is an early visual phenomenon of forest fires, and the timely detection of smoke is of great significance for early warning systems. However, most existing smoke detection algorithms have varying levels of accuracy over different distances. This paper proposes a new smoke root detection algori...
Autores principales: | Feng, Xuhong, Cheng, Pengle, Chen, Feng, Huang, Ying |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9504340/ https://www.ncbi.nlm.nih.gov/pubmed/36146097 http://dx.doi.org/10.3390/s22186748 |
Ejemplares similares
-
Few-Shot Fine-Grained Forest Fire Smoke Recognition Based on Metric Learning
por: Sun, Bingjian, et al.
Publicado: (2022) -
An Embedded Portable Lightweight Platform for Real-Time Early Smoke Detection
por: Liu, Bowen, et al.
Publicado: (2022) -
No fire without smoke (particles)
por: Holm, Stephanie M, et al.
Publicado: (2021) -
Toxic gases and smoke from polyvinyl chloride in fires in the FRS full-scale test rig
por: Stark, G W V, et al.
Publicado: (1975) -
Real-Time Fire Smoke Detection Method Combining a Self-Attention Mechanism and Radial Multi-Scale Feature Connection
por: Jin, Chuan, et al.
Publicado: (2023)