SAR multi-frequency ship detection with cross calibration with AIS data in NRT

Start date

01 May 2016

End date

31 December 2016

Overview

The purpose of this project was to investigate suitability of the generalized likelihood ratio test (GLRT)-based ship detection algorithm for Synthetic Aperture Radar (SAR) datasets for operational services and develop a prototype for operational environment. A second aim is to investigate comparison and/or fusion of Automatic Identification System (AIS) and SAR data with the purpose of further improving operational services in ship detection by exploiting the additional information coming from AIS data.

Funding amount

£70,000

Funder

Team

Outputs

P.Iervolino, R.Guida, “A Novel Ship Detector Based on the Generalized Likelihood Ratio Test for SAR imagery”, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 10, no. 8, pp. 3616-3630, 2017.

P.Iervolino, R.Guida, P.Lumsdon, J.Janoth, M.Clift, A.Minchella, P.Bianco, “Ship detection in SAR imagery: a comparison study”, International Geoscience and Remote Sensing Symposium ’17, pp.2050-2053, Fort Worth (TX), 2017.

Research themes

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