Ship recognition based on Hu invariant moments and convolutional neural network for video surveillance
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-020-09574-2.pdf
Reference45 articles.
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3. Arguedas VF (2015). Texture-based vessel classifier for electro-optical satellite imagery. In: IEEE international conference on image processing (ICIP) 3866-3870. https://doi.org/10.1109/ICIP.2015.7351529
4. Bentes C, Velotto D, Tings B (2018) Ship classification in TerraSAR-X images with convolutional neural networks. IEEE J Ocean Eng 43:258–266. https://doi.org/10.1109/JOE.2017.2767106
5. Cao XF, Gao S, Chen LC et al (2019). Ship recognition method combined with image segmentation and deep learning feature extraction in video surveillance. Multimed tools Appl 1-16. https://doi.org/10.1007/s11042-018-7138-3
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