Maritime Anomaly Detection: Domain Introduction and Review of Selected Literature

Abstract

Early in the conduct of Project 11hg (Collaborative Knowledge Exploitation for Maritime Domain Awareness) at Defence R&D Canada, anomaly detection in the maritime domain has been identified by the operators/analysts of the operational community as an important aspect requiring research and development. A number of R&D activities have thus been undertaken under the project to specifically investigate maritime anomaly detection (MAD). This Technical Memorandum reports on one of these activities. It first provides a high-level introduction to the domain, and then presents a review of selected literature on the subject. Different views of the field are presented, starting with a description of the various steps of MAD, followed by a discussion of four interrelated goals of MAD. Current gaps in MAD are identified from the data and information, processing and systems perspectives. The selected literature review is structured around specific organizations known to be active in maritime anomaly detection, various MAD systems, and other relevant research activities. A high-level assessment of the methods for MAD that were found in the reviewed literature completes the discussion.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2011
Accession Number
ADA554310

Entities

People

  • Etienne Martineau
  • Jean Roy

Organizations

  • DRDC Valcartier

Tags

Communities of Interest

  • Autonomy
  • C4I
  • Energy and Power Technologies
  • Engineered Resilient Systems
  • Ground and Sea Platforms
  • Space

DTIC Thesaurus Topics

  • Anomaly Detection
  • Bayesian Networks
  • Change Detection
  • Computers
  • Data Mining
  • Detection
  • Detectors
  • Information Science
  • Machine Learning
  • Maritime Domain Awareness
  • Maritime Security
  • National Security
  • Neural Networks
  • Ontologies
  • Situational Awareness
  • Supervised Machine Learning
  • Threat Evaluation

Readers

  • Systems Analysis and Design
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.