Multi-Source Data Fusion for the Estimation of Mean Shipping Densities

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Authors
  1. Gauthier
Corporate Authors
Defence R&D Canada - Centre for Operational Research and Analysis, Ottawa ON (CAN)
Abstract
Maintaining continuous tracks of all vessels crossing a large oceanic area is a very difficult task to perform. For this reason, the true mean shipping densities over a given period of time can rarely be directly calculated; they need to be estimated from a limited number of observations made at discrete points in time. The completeness and correctness of these observations may vary from one data source to another. This paper proposes a Bayesian fusion method for producing shipping density maps of high resolution based upon vessel position reports obtained from various sources of maritime traffic data. An example involving data from three sources with different characteristics is given. A computer program implementing the fusion algorithm is also presented.

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Keywords
Bayesian statistics;Data fusion;Maritime traffic;Operational research;Shipping densities
Report Number
DRDC-CORA-TM-2005-018 — Technical Memorandum
Date of publication
01 Jun 2005
Number of Pages
50
DSTKIM No
CA026121
CANDIS No
523903
Format(s):
Electronic Document(PDF)

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