A Machine Learning Algorithm to Detect and Analyze Meteor Echoes Observed by the Jicamarca Radar

We present a machine-learning approach to detect and analyze meteor echoes (MADAME), which is a radar data processing workflow featuring advanced machine-learning techniques using both supervised and unsupervised learning. Our results demonstrate that YOLOv4, a convolutional neural network (CNN)-bas...

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Bibliographic Details
Main Authors: Yanlin Li, Freddy Galindo, Julio Urbina, Qihou Zhou, Tai-Yin Huang
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/15/16/4051