Generalized likelihood ratio test operational algorithm for ship detection in SAR imagery: Testing and benchmarking (Phase 2)
Start date
01 October 2018End date
31 December 2018Overview
The purpose of this project was to test the ship detector for Synthetic Aperture Radar (SAR) imagery developed during the phase 1 of the project over meaningful spaceborne datasets acquired by different sensors. The detector performance was evaluated against different working frequencies (C-, X- and S-band), look angles and sea state scenarios.
Funding amount
£29,000
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, D.Amitrano, A.Marino, “SAR Ship Detection for Rough Sea Conditions”, International Geoscience and Remote Sensing Symposium ’19, Yokohama (Japan), 2019.