Maritime traffic situation awareness analysis via high-fidelity ship imaging trajectory-Reference-Cited by-同舟云学术

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Maritime traffic situation awareness analysis via high-fidelity ship imaging trajectory

Published:2023-11-03 Issue: Volume: Page:
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Chen Xinqiang^ORCID,Zheng Jinbiao,Li Chaofeng,Wu Bing,Wu Huafeng,Montewka Jakub

Funder

National Key R&D Program of China

Innovative Research Group Project of the National Natural Science Foundation of China

China Postdoctoral Science Foundation

National Titanium and Rare Metal Powder Metallurgy Engineering Technology Research Center

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/s11042-023-17456-6.pdf

Reference31 articles.

1. Yu Y, Chen L, Shu Y, Zhu W (2021) Evaluation model and management strategy for reducing pollution caused by ship collision in coastal waters. Ocean Coast Manag 203:105446. https://doi.org/10.1016/j.ocecoaman.2020.105446

2. Liu RW, Yuan W, Chen X, Lu Y (2021) An enhanced CNN-enabled learning method for promoting ship detection in maritime surveillance system. Ocean Eng 235:109435. https://doi.org/10.1016/j.oceaneng.2021.109435

3. Chen X, Wang Z, Hua Q, Shang W, Luo Q, Yu K (2022) AI-Empowered speed extraction via Port-like videos for vehicular trajectory analysis. IEEE Trans Intell Transp Syst vol Preprint 1–12. https://doi.org/10.1109/TITS.2022.3167650

4. Chen X et al (2020) Sensing data supported traffic flow prediction via denoising schemes and ANN: A Comparison. IEEE Sens J 20:14317–14328. https://doi.org/10.1109/JSEN.2020.3007809

5. Prasad DK, Rajan D, Rachmawati L, Rajabally E, Quek C (2017) Video processing from electro-optical sensors for object detection and tracking in a maritime environment: a survey. IEEE Trans Intell Transp Syst 18(8):1993–2016. https://doi.org/10.1109/TITS.2016.2634580

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