Deep Learning Model Size Performance Evaluation for Lightning Whistler Detection on Arase Satellite Dataset

Deep Learning Model Size Performance Evaluation for Lightning Whistler Detection on Arase Satellite Dataset

The plasmasphere within Earth’s magnetosphere plays a crucial role in space physics, with its electron density distribution being pivotal and strongly influenced by solar activity. Very Low Frequency (VLF) waves, including whistlers, provide valuable insights into this distribution, making the study...

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Main Authors: I Made Agus Dwi Suarjaya, Desy Purnami Singgih Putri, Yuji Tanaka, Fajar Purnama, I Putu Agung Bayupati, Linawati, Yoshiya Kasahara, Shoya Matsuda, Yoshizumi Miyoshi, Iku Shinohara
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Remote Sensing
Subjects:
deep learning
lightning whistler
Arase/ERG (Exploration of Energization and Radiation in Geospace)
YOLO (You Only Look Once)
detection
Online Access:https://www.mdpi.com/2072-4292/16/22/4264
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