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Computationally Efficient Wildfire Detection Method Using a Deep Convolutional Network Pruned via Fourier Analysis
In this paper, we propose a deep convolutional neural network for camera based wildfire detection. We train the neural network via transfer learning and use window based analysis strategy to increase the fire detection rate. To achieve computational efficiency, we calculate frequency response of the...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7287837/ https://www.ncbi.nlm.nih.gov/pubmed/32443739 http://dx.doi.org/10.3390/s20102891 |