Abstract
Automatic identification system (AIS) data have the potential to contribute significantly to the development of automated algorithms for ship signature identification in remotely sensed imagery. Datasets composed of RADARSAT-1 imagery collected over a 3-month period and the corresponding AIS data from AISLive were compiled. SAR-derived ship length and radar cross section features were validated against AIS data, thus demonstrating the utility of AIS as a source of ground truth.
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