Lunar Ejecta Pattern Detection and Analysis Using Faster R-CNN and GAN Augmentation

Gaining understanding of the Moon's geological and impact history requires a thorough analysis and inspection of its surface. Understanding the history of impact events, planetary development, crater formation mechanisms, geological composition, lunar regolith, planetary defense strategies, spa...

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Bibliographic Details

Published in:	2024 14th International Conference on Cloud Computing, Data Science & Engineering (Confluence) pp. 652 - 656
Main Authors:	Ghadekar, Premanand, Rathad, Chanchal, Jangral, Sourav, Unde, Rushikesh, Mali, Adwait, Karande, Aryan
Format:	Conference Proceeding
Language:	English
Published:	IEEE 18-01-2024
Subjects:	Analytical models Computational modeling Ejecta Pattern Faster R-CNN Generative adversarial networks Geology Lunar Craters Moon Radiometry Vanilla GAN Weathering
Online Access:	Get full text
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