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
拢70,000
Funder
Airbus Defence and Space
Team
Principal investigator
Dr Raffaella Guida
麻豆视频
See profileLead researcher
Dr Pasquale Iervolino
Airbus Defence and Space, Guildford
Outputs
P.Iervolino, R.Guida, 鈥淎 Novel Ship Detector Based on the Generalized Likelihood Ratio Test for SAR imagery鈥, 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, 鈥淪hip detection in SAR imagery: a comparison study鈥, International Geoscience and Remote Sensing Symposium 鈥17, pp.2050-2053, Fort Worth (TX), 2017.