A novel ship classification network with cascade deep features for line-of-sight sea data
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Computer Vision and Pattern Recognition,Hardware and Architecture,Software
Link
https://link.springer.com/content/pdf/10.1007/s00138-021-01198-2.pdf
Reference46 articles.
1. Leclerc, M., Tharmarasa, R., Florea, M.C., Boury-Brisset, A.C., Kirubarajan, T., Duclos-Hindié, N.: Ship classification using deep learning techniques for maritime target tracking. In: 2018 21st International Conference on Information Fusion, FUSION 2018. pp. 737–744. ISIF (2018)
2. Kumlu, D.: Autonomous Ship Recognition from Color Images (2012)
3. Ucar, F., Korkmaz, D.: A ship detector design based on deep convolutional neural networks for satellite ımages. Sak. Univ. J. Sci. 24, 197–202 (2020). https://doi.org/10.16984/saufenbilder.587731
4. Bentes, C., Velotto, D., Tings, B.: Ship classification in TerraSAR-X images with convolutional neural networks. IEEE J. Ocean. Eng. 43, 258–266 (2018). https://doi.org/10.1109/JOE.2017.2767106
5. Du, Y., Song, W., He, Q., Huang, D., Liotta, A., Su, C.: Deep learning with multi-scale feature fusion in remote sensing for automatic oceanic eddy detection. Inf. Fusion 49, 89–99 (2019). https://doi.org/10.1016/j.inffus.2018.09.006
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