Vessel Tracking and Anomaly Detection Using Level 0/1 and High-Level Information Fusion Techniques

  • R. Abielmona
  • R. Falcon
  • P. W. Vachon
  • V. Z. Groza
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 357)

Abstract

In this paper, we survey state-of-the-art algorithms and processes that utilize synthetic aperture radar (SAR) and automatic identification system (AIS) as data sources with a goal of de-cluttering the operator’s workspace. The study differentiates between the use of soft computing techniques and other traditional ones and was broken down into two main sections, each describing a distinct aspect of the problem at hand. The first outlines the current Level 0/1 fusion techniques, while the second focuses on the high-level information fusion (HLIF) techniques. Advantages and drawbacks for the most relevant techniques are discussed and quantifiable metrics are disclosed.

Keywords

High-level information fusion AIS/SAR fusion Track association Anomaly detection Territorial security Maritime domain awareness 

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • R. Abielmona
    • 1
  • R. Falcon
    • 1
  • P. W. Vachon
    • 2
  • V. Z. Groza
    • 3
  1. 1.Larus TechnologiesOttawaCanada
  2. 2.Defence R&D CanadaOttawaCanada
  3. 3.University of OttawaOttawaCanada

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