Detecting Submerged Objects Using Active Acoustics and Deep Neural Networks: A Test Case for Pelagic Fish
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DOI: 10.1109/tmc.2020.3044397
Abstract: The accurate detection and quantification of submerged targets has been recognized as a key challenge in marine exploration, one that traditional census approaches cannot handle efficiently. Here we present a deep learning approach to detect… read more here.
Keywords: acoustics; neural networks; submerged objects; objects using ... See more keywords