基于迁移学习的卷积神经网络森林火灾检测方法 下载: 1650次
富雅捷, 张宏立. 基于迁移学习的卷积神经网络森林火灾检测方法[J]. 激光与光电子学进展, 2020, 57(4): 041010.
Yajie Fu, Hongli Zhang. Forest Fire Detection Method Based on Transfer Learning of Convolutional Neural Network[J]. Laser & Optoelectronics Progress, 2020, 57(4): 041010.
[1] 高文. 森林防火存在的问题及建议[J]. 现代农业科技, 2018( 21): 142- 143.
GaoW. Problems and suggestions for forest fire prevention[J]. Modern Agricultural Science and Technology, 2018( 21): 142- 143.
[3] KandilM, SalamaM. A new hybrid algorithm for fire vision recognition[C]∥IEEE EUROCON 2009, May 18-23, 2009, St. Petersburg, Russia. New York: IEEE, 2009: 1460- 1466.
[4] Vipin V. Image processing based forest fire detection[J]. International Journal of Emerging Technology and Advanced Engineering, 2012, 2(2): 87-95.
[5] 梅建军, 张为. 基于ViBe与机器学习的早期火灾检测算法[J]. 光学学报, 2018, 38(7): 0710001.
[6] 傅天驹. 基于深度学习的林火图像识别算法及实现[D]. 北京: 北京林业大学, 2016.
Fu TJ. Forest fire image recognition algorithm and realization based on deep learning[D]. Beijing: Beijing Forestry University, 2016.
[7] FrizziS, KaabiR, BouchouichaM, et al. Convolutional neural network for video fire and smoke detection[C]∥IECON 2016-42nd Annual Conference of the IEEE Industrial Electronics Society, October 23-26, 2016, Florence, Italy. New York: IEEE, 2016: 877- 882.
[8] Wu XH, Lu XB, LeungH. An adaptive threshold deep learning method for fire and smoke detection[C]∥2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC), October 5-8, 2017, Banff, AB, Canada. New York: IEEE, 2017: 1954- 1959.
[9] 傅天驹, 郑嫦娥, 田野, 等. 复杂背景下基于深度卷积神经网络的森林火灾识别[J]. 计算机与现代化, 2016( 3): 52- 57.
Fu TJ, Zheng CG, TianY, et al. Forest fire recognition based on deep convolutional neural network under complex background[J]. Computer and Modernization, 2016( 3): 52- 57.
[10] 王立伟, 李吉明, 周国民, 等. 深度迁移学习在高光谱图像分类中的运用[J]. 计算机工程与应用, 2019, 55(5): 181-186.
Wang L W, Li J M, Zhou G M, et al. Application of deep transfer learning in hyperspectral image classification[J]. Computer Engineering and Applications, 2019, 55(5): 181-186.
[11] KrizhevskyA, SutskeverI, Hinton GE. ImageNet classification with deep convolutional neural networks[C]∥Advances in Neural Information Processing Systems, December 3-6, 2012, Lake Tahoe, Nevada, United States. [S.l:]: NIPS, 2012: 1097- 1105.
[13] 褚晶辉, 吴泽蕤, 吕卫, 等. 基于迁移学习和深度卷积神经网络的乳腺肿瘤诊断系统[J]. 激光与光电子学进展, 2018, 55(8): 081001.
富雅捷, 张宏立. 基于迁移学习的卷积神经网络森林火灾检测方法[J]. 激光与光电子学进展, 2020, 57(4): 041010. Yajie Fu, Hongli Zhang. Forest Fire Detection Method Based on Transfer Learning of Convolutional Neural Network[J]. Laser & Optoelectronics Progress, 2020, 57(4): 041010.