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With the new development in Unmanned Aerial Vehicle (UAV) in recent years, UAV equipped with color and infrared cameras becomes a new tool for carrying out the forest fire detection and fighting missions due to its advantages of low price, high maneuverability, and easy use. In order to detect a potential fire in its early stage, a UAV-based forest fire detection method using a convolutional neural network method is proposed in this paper. The effectiveness of the proposed fire detection algorithm is verified by using simulated flames in an indoor experimental testbed.
Chen et al. (Sun,) studied this question.
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