PROJECT TITLE :
AIS-Based Evaluation of Target Detectors and SAR Sensors Characteristics for Maritime Surveillance
This paper studies the performances of different ship detectors based mostly on adaptive threshold algorithms. The detection algorithms are based on various clutter distributions and assessed automatically with a systematic methodology. Evaluation using large datasets of medium resolution SAR pictures and AIS (automatic identification system) data as ground truths allows to evaluate the efficiency of every detector. Relying on the datasets used for testing, the detection algorithms provide totally different advantages and drawbacks. The systematic methodology used in discriminating real detected targets and false alarms so as to work out the detection rate, allows us to perform an applicable and consistent comparison of the detectors. The impact of SAR sensors characteristics (incidence angle, polarization, frequency and spatial resolution) is fully assessed, the vessels' length being conjointly thought of. Experiments are conducted on Radarsat-2 and CosmoSkymed ScanSAR datasets and AIS information acquired by coastal stations.
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