Science Service System

Summary of Proposal COA2198

TitleTSX Wide ScanSAR Images Associated with VMS Information for Vessel Behaviour Monitoring
Investigator Zhou, Zheng-Shu - CSIRO, CCI
Team Members
Dr Caccetta, Peter - CSIRO, Computational Informatics
Dr Wilcox, Chris - CSIRO, Marine and Atmospheric Research
SummaryWe are proposing to develop hidden Markov models for movement of vessels at sea using SAR imagery and in situ vesselmonitoring information. The purpose of the study is to identify vessel behavioral modes based on differences in movement behavior for promoting economically and environmentally sustainable management of the seas. Ou rpreliminary application is to illegal fishing, focusing on estimating periods and locations of transiting, off-loading, and fishing. Our goal is to combine comprehensive but periodic detection of vessels and estimation of bearing and velocity of all vessels from SAR imagery with continuous GPS tracking of the subset of vessels that are licensed operating in the same fishery. We anticipate that the fusion of these two data streams will provide adequate information on vessel behaviors from the legal vessels to allow estimation of activities by illegal vessels. This concept of data fusion for estimation of movement behavior is novel in the monitoring, control and surveillance literature andwill provide a significant advance in the national and international control of illegal fishing specifically. Although these methods will be applied in this case study to detection of illegal fishing, the methods are widely applicable to detection of anomalous behavior and have the potential to improve detection of unauthorized border crossings, piracy, and other illegal activities.In test sites we will have access to vessel tracking data from the respective fisheries management agencies for licensed vessels,which are required to carry vessel monitoring systems (VMS). The TerraSAR-X new mode AO provides a unique opportunity to access Wide ScanSAR mode data for this study. The analysis of the SAR data will focus on several aspects, first we will identify the vessels themselves, for all ships in the footprint. Second,we will explore methods for quantifying the vessel bearing and velocity based on its wake. We will do this initially using legal vessels, for which we know the bearing and velocity from the vessel monitoring systems. Then, we will apply the approach to the illegal vessels in the image footprint to infer their bearing and velocity. In both cases we have access to field data for verification,including locations and movements of ships, along with on-water observations of vessel wakes and wave fields.

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DLR 2004-2016