Machine learning to detect marine animals in UAV imagery: effect of morphology, spacing, behaviour and habitat
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DOI: 10.1002/rse2.205
Abstract: Machine learning algorithms are being increasingly used to process large volumes of wildlife imagery data from unmanned aerial vehicles (UAVs); however, suitable algorithms to monitor multiple species are required to enhance efficiency. Here, we developed… read more here.
Keywords: machine; sea; spacing behaviour; marine ... See more keywords