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, Zijlstra, Albert A., McDonald, Iain, Rosni, Abdullah, Fuller, Gary A., Ahmad H., Fauzi, Johari, Abdullah
Format: Article
Language:English
Published: Multidisciplinary Digital Publishing Institute (MDPI) 2020
Subjects:
Q Science (General)
QB Astronomy
QC Physics
Online Access:http://ir.unimas.my/id/eprint/33464/1/Classification%20of%20Planetary%20Nebulae%20through%20DeepTransfer%20Learning_pdf.pdf
http://ir.unimas.my/id/eprint/33464/
https://www.mdpi.com/2075-4434/8/4/88
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Institution: Universiti Malaysia Sarawak
Language: English

Internet

http://ir.unimas.my/id/eprint/33464/1/Classification%20of%20Planetary%20Nebulae%20through%20DeepTransfer%20Learning_pdf.pdf
http://ir.unimas.my/id/eprint/33464/
https://www.mdpi.com/2075-4434/8/4/88

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