USE OF ARTIFICIAL NEURAL NETWORKS FOR THE SORTING OF LIDAR ECHO SIGNALS
Describes an experience of using artificial neural networks to break down a set of lidar echo signals into several predefined classes. Some dependencies are considered of the neural network’s learning process and sorting results on the network model and learning algorithm used.
Authors: V. S. Goryainov, A. A. Buznikov, V. I. Chernook
Direction: Instrument Engineering and Information-Measurement Technologies
Keywords: Lidars, remote sensing of water, signal processing, artificial neural networks
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