Toward robust multitype and orientation detection of vessels in maritime surveillance
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DOI: 10.1117/1.jei.29.3.033015
Abstract: Abstract. Reliable multitype and orientation vessel detection is of vital importance for maritime surveillance. We develop three separate convolutional neural network (CNN) models for high-performance single-class vessel detection and then multiclass vessel-type/orientation detection. We also… read more here.
Keywords: orientation; vessel; orientation detection; multitype orientation ... See more keywords