Science Service System

Summary of Proposal OCE2203

TitleDevelopment and improvement of algorithms for automated ship detection and classification on TerraSAR-X images
Investigator Tings, Björn - DLR MF, SAR BF
Team Members
Mr. Bentes, Carlos - DLR MF, SAR BF
Mr. Velotto, Dominico - DLR MF, SAR BF
Dr. Lehner, Susanne - DLR MF, SAR BF
SummaryThe detection of ships is needed to provide a global awareness of ship positions, vessel and fleet movements and maritime traffic densities. Ship classification is used to determine ship parameters and predict vessel behaviour. Automatized ship detection and classification are inevitable components of maritime surveillance tasks and are crucial to guarantee maritime security and safety.

Areas of interest are European Seas for the purpose of traffic monitoring and, due to availability of terrestrial AIS, validation of extended and newly developed ship analysis methods. Other important areas are oceans around Africa in order to test the performance of methods in foreign waters on observation tasks like piracy pursuit and detection of border violations. For that reason beside established Modes especially high-resolution and large-coverage TerraSAR-X-Modes are of interest and SSC- plus MGD-product types under different polarimetries will be utilized.

The algorithms are developed under NRT requirements in order to be used operationally. An operational processor periodically will be delivered to the satellite centre in Neustrelitz. Research contributions are regularly presented in scientific conferences and published in relevant literature.

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