Edge Intelligence-Based Moving Target Classification Using Compressed Seismic Measurements and Convolutional Neural Networks
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DOI: 10.1109/lgrs.2021.3055795
Abstract: Many deep learning methods have been proposed to classify moving targets from seismic signals in recent years. However, the existing deep models are all designed based on the “end-cloud” framework, in which real-time data processing… read more here.
Keywords: classification; convolutional neural; target classification; seismic measurements ... See more keywords