Enhancing Sensor Performance with Statistical Data Analytics

Wright, James ORCID: 0000-0002-5792-2116 (2021) Enhancing Sensor Performance with Statistical Data Analytics. PhD thesis, University of Liverpool.

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Abstract

This thesis examines the use of Automatic Identification System (AIS) information to generate a picture of maritime activity. It derives suitable methods to produce tracks of vessel movements, both in littoral and open-ocean scenarios, removing ambiguities and highlighting doppelg�anger. The thesis then goes on to describe techniques to improve our understanding of maritime activities through the extraction of individual vessel behaviours and the generation of models describing normal behaviours to highlight abnormalities.

Item Type:	Thesis (PhD)
Divisions:	Faculty of Science and Engineering > School of Electrical Engineering, Electronics and Computer Science
Depositing User:	Symplectic Admin
Date Deposited:	01 Oct 2021 14:49
Last Modified:	08 Feb 2025 02:21
DOI:	10.17638/03135106
Supervisors:	Maskell, Simon ORCID: 0000-0003-1917-2913 Ablett, Stephen
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3135106