Automatic Detection and Classification of Aurora in THEMIS All‐Sky Images

Abstract We report a novel machine‐learning algorithm for automatically detecting and classifying aurora in all–sky images (ASI) that is largely trained without requiring ground–truth labels. By including a small number of labeled images, we are able to automatically label all of the approximately 7...

وصف كامل

التفاصيل البيبلوغرافية
الحاوية / القاعدة:Journal of Geophysical Research: Machine Learning and Computation
المؤلفون الرئيسيون: Jeremiah W. Johnson, Doğacan Su Öztürk, Donald Hampton, Hyunju K. Connor, Matthew Blandin, Amy Keesee
التنسيق: مقال
اللغة:الإنجليزية
منشور في: Wiley 2024-12-01
الموضوعات:
aurora
annotation
machine learning
THEMIS
all‐sky images
الوصول للمادة أونلاين:https://doi.org/10.1029/2024JH000292

الانترنت

https://doi.org/10.1029/2024JH000292

مواد مشابهة