Laser & Optoelectronics Progress, Volume. 57, Issue 4, 041010(2020)

Forest Fire Detection Method Based on Transfer Learning of Convolutional Neural Network

Yajie Fu and Hongli Zhang*
Author Affiliations
  • School of Electrical Engineering, Xinjiang University, Urumqi, Xinjiang 830047, China
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    Figures & Tables(8)
    Schematic of forest fire detection network
    Process of selective search method
    Structure of AlexNet convolutional neural network
    Schematic of transfer learning process
    Forest fire test results. (a) Test results ①; (b) test results ②; (c) test results ③; (d) test results ④
    • Table 1. Classification performances of different models

      View table

      Table 1. Classification performances of different models

      ModelTrainingaccuracy /%Classificationperformance /%
      Model 193.786.0
      Model 296.693.6
      Model 398.998.3
    • Table 2. Comparison of different CNN algorithms

      View table

      Table 2. Comparison of different CNN algorithms

      MethodDetectable rate /%Precision /%
      SPPYOLOSSDModel A9998.699.88693.9969480
      Model B99.897
    • Table 3. Comparison of different migration learning CNN algorithms

      View table

      Table 3. Comparison of different migration learning CNN algorithms

      MethodDetectablerate /%Precision /%Time /s
      VGG98.996.32.03
      AlexNet99.897.01.78
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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

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    Paper Information

    Category: Image Processing

    Received: May. 31, 2019

    Accepted: Aug. 12, 2019

    Published Online: Feb. 20, 2020

    The Author Email: Zhang Hongli (zhlxju@163.com)

    DOI:10.3788/LOP57.041010

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