Laser & Optoelectronics Progress, Volume. 57, Issue 4, 041010(2020)
Forest Fire Detection Method Based on Transfer Learning of Convolutional Neural Network
It takes significant time and a large amount of data for a traditional convolutional neural network-based target-detection algorithm to train its network parameters. Considering that forest fire data are small samples, this work investigates and implements a forest fire detection algorithm using the transfer learning method to train a convolutional neural network. Experiments on the forest fire dataset in this work show that the detection accuracy of this algorithm can reach 97%. In addition, the algorithm is more adaptable for forest fire detection as it has the advantages of high accuracy, low false alarm rate, and short detection time.
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Yajie Fu, Hongli Zhang. Forest Fire Detection Method Based on Transfer Learning of Convolutional Neural Network[J]. Laser & Optoelectronics Progress, 2020, 57(4): 041010
Category: Image Processing
Received: May. 31, 2019
Accepted: Aug. 12, 2019
Published Online: Feb. 20, 2020
The Author Email: Zhang Hongli (zhlxju@163.com)