Deep Learning for High-Speed Lightning Footage—A Semantic Segmentation Network Comparison

Deep Learning for High-Speed Lightning Footage—A Semantic Segmentation Network Comparison

We present a novel deep learning approach to a unique image processing application: high-speed (>1000 fps) video footage of lightning. High-speed cameras enable us to observe lightning with microsecond resolution, characterizing key processes previously analyzed manually. We evaluate different se...

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Bibliographic Details
Main Authors: Tyson Cross, Jason R. Smit, Carina Schumann, Tom A. Warner, Hugh G. P. Hunt
Format: Article
Language:English
Published: MDPI AG 2024-07-01
Series:Atmosphere
Subjects:
DeepLabV3+
fully convolutional networks
high-speed video footage
lightning
semantic segmentation
SegNet
Online Access:https://www.mdpi.com/2073-4433/15/8/873

Internet

https://www.mdpi.com/2073-4433/15/8/873

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