Classification of Planetary Nebulae through Deep Transfer Learning

Classification of Planetary Nebulae through Deep Transfer Learning

This study investigate the effectiveness of using Deep Learning (DL) for the classification of planetary nebulae (PNe). It focusses on distinguishing PNe from other types of objects, as well as their morphological classification. We adopted the deep transfer learning approach using three ImageNet pr...

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Bibliographic Details
Main Authors: Dayang N. F. Awang Iskandar, Albert A. Zijlstra, Iain McDonald, Rosni Abdullah, Gary A. Fuller, Ahmad H. Fauzi, Johari Abdullah
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Series:Galaxies
Subjects:
deep learning
transfer learning
planetary nebulae
morphology
classification
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Online Access:https://www.mdpi.com/2075-4434/8/4/88

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https://www.mdpi.com/2075-4434/8/4/88

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