Advertisement

Image Classification of Submarine Volcanic Smog Map Based on Convolution Neural Network

  • Xiaoting Liu
  • Li LiuEmail author
  • Yuhui Chen
Conference paper
  • 2 Downloads
Part of the Communications in Computer and Information Science book series (CCIS, volume 1181)

Abstract

In order to meet the problem of smoke image classification in submarine volcanic scene, in this paper, depth convolution neural network (Deep Convolutional Neural Networks, DCNN) is used to classify smoke seafloor map and smoke-free seafloor map under small-scale data set and limited computing power. Firstly, the data enhancement technology is used to expand the data set through angle rotation, horizontal flipping, random cutting and adding Gaussian noise, and then the depth convolution neural network is built for training. Finally, the recognition and classification is carried out according to the prediction image label of the classifier. The experimental results show that the classification accuracy of the proposed method is more than 91%.

Keywords

Submarine volcanic smoke Image classification Convolutional neural network 

References

  1. 1.
    Zhou, Z., Shi, Y., Gao, Z., et al.: Wildfire smoke detection based on local extremal region segmentation and surveillance. Journal 85, 50–58 (2016)Google Scholar
  2. 2.
    Dimitropoulos, K., Barmpoutis, P., Grammalidis, N.: Higher order linear dynamical systems for smoke detection in video surveillance applications. Journal 27(5), 0303–0322 (2018)Google Scholar
  3. 3.
    Shi, J.T., Yuan, F.N., Xia, X.: Higher order linear dynamical systems for smoke detection in video surveillance applications. Journal 23(3), 1143–1154 (2016). (in Chinese)Google Scholar
  4. 4.
    Chen, J.Z., Wang, Z.J., Chen, H.H., et al.: Video dynamic smoke detection based on cascade convolution neural network. Journal 46(6), 992–996 (2016). (in Chinese)Google Scholar
  5. 5.
    Xu, G., Zhang, Y.M., Zhang, Q.X., et al.: Deep domain adaptation based video smoke detection using synthetic smoke images. Journal 93, 53–59 (2017)Google Scholar
  6. 6.
    Zhou, F.Y., Jin, L.P., Dong, J.: Deep domain adaptation based video smoke detection using synthetic smoke images. Journal 40(06), 1229–1251 (2017). (in Chinese)Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.University of South ChinaHengyangChina

Personalised recommendations