Improved DeepLabV3+ based Railway Track Extraction to Enhance Railway Transportation Safety

Author:

Weng Yanbin,Li Zuochuang,Huang Xiaobin,Chen Xiahu

Publisher

Springer Nature Singapore

Reference21 articles.

1. Gao, H.: Research on automatic road extraction from high-resolution remote sensing images based on deep learning. University of Chinese Academy of Sciences (Xi'an Institute of Optics and Precision Machinery, Chinese Academy of Sciences) (2020)

2. Barzohar, M., Cooper, D.B.: Automatic finding of main roads in aerial images by using geometric-stochastic models and estimation. IEEE Trans. Pattern Anal. Mach. Intell. 18(7), 707–721 (1996)

3. Ghaziani, M., Mohamadi, Y., Koku, A.B., et al.: Extraction of unstructured roads from satellite images using binary image segmentation. In: Signal Processing and Communications Applications Conference (SIU), 2013 21st. IEEE (2013)

4. Chen, X.: Research on deep learning algorithm and application based on convolutional neural network. Zhejiang Business University (2014)

5. Mnih, V., Hinton, G.E.: Learning to Detect Roads in High-Resolution Aerial Images. Springer, Berlin, Heidelberg (2010)

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