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About Automatic Forest Fire Detection Based - On A Machine Learning and Image - Analysis Pipeline
The document describes an automatic forest fire detection system based on a machine learning and image analysis pipeline. The system processes images of forest environments to detect smoke or flames using a deep convolutional neural network to extract image descriptors which are then classified using logistic regression. It then applies computer vision techniques to assess the area of any detected flames. The system achieved 94.1% accuracy on daytime images and 94.8% accuracy on nighttime images in testing.
Detailed Information
| Author: | ['J'] |
|---|---|
| Publication Year: | 2019 |
| Pages: | 12 |
| Language: | English |
| Format: | |
| Price: | FREE |
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