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Architecture for Trajectory-Based Fishing Ship Classification with AIS Data

This paper proposes a data preparation process for managing real-world kinematic data and detecting fishing vessels. The solution is a binary classification that classifies ship trajectories into either fishing or non-fishing ships. The data used are characterized by the typical problems found in cl...

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Principais autores: David Sánchez Pedroche, Daniel Amigo, Jesús García, José Manuel Molina
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2020-07-01
coleção:Sensors
Assuntos:
AIS data
spatiotemporal data mining
data fusion
machine learning
trajectory classification
class imbalance
Acesso em linha:https://www.mdpi.com/1424-8220/20/13/3782
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