Semantic Segmentation of AIS Trajectories for Detecting Complete Fishing Activities-Reference-Cited by-同舟云学术

Semantic Segmentation of AIS Trajectories for Detecting Complete Fishing Activities

Published:2022-06 Issue: Volume: Page:
ISSN:
Container-title:2022 23rd IEEE International Conference on Mobile Data Management (MDM)
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Author:

Wu Song¹,Zimanyi Esteban¹,Sakr Mahmoud¹,Torp Kristian²

Affiliation:

1. Université Libre de Bruxelles,Brussels,Belgium

2. Aalborg University,Aalborg,Denmark

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9861039/9861093/09861189.pdf?arnumber=9861189

Reference17 articles.

1. Multiple aspect trajectories: a case study on fishing vessels in the northern adriatic sea;rovinelli;EDBT/ICDT Workshops,2021

2. Discovering vessel activities at sea using AIS data: Mapping of fishing footprints;mazzarella;17th International Conference on Information Fusion (FUSION) FUSION,2014

3. A conceptual view on trajectories

4. A density-based algorithm for discovering clusters in large spatial databases with noise;ester;KDD,1996

5. Constructing Spaces and Times for Tactical Analysis in Football

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