SAR multi-frequency ship detection with cross calibration with AIS data in NRT
Start date
01 May 2016End date
31 December 2016Overview
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
Airbus Defence and Space
Team
Principal investigator
Dr Raffaella Guida
University of Surrey
See profileLead researcher
Dr Pasquale Iervolino
Airbus Defence and Space, Guildford
See profileOutputs
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.