Oxia Planum, Mars, classified using the NOAH-H deep-learning terrain classification system

Oxia Planum, Mars, classified using the NOAH-H deep-learning terrain classification system

ABSTRACTWe present a map of Oxia Planum, Mars, the landing site for the ExoMars Rover. This shows surface texture and aeolian bedform distribution, classified using a deep learning (DL) system. A hierarchical classification scheme was developed, categorising the surface textures observed at the site...

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Bibliographic Details
Main Authors: Alexander M. Barrett, Jack Wright, Elena Favaro, Peter Fawdon, Matthew R. Balme, Mark J. Woods, Spyros Karachalios, Eleni Bohacek, Elliot Sefton-Nash, Luc Joudrier
Format: Article
Language:English
Published: Taylor & Francis Group 2023-12-01
Series:Journal of Maps
Subjects:
Machine learning
Mars surface
geomorphology
ExoMars
deep learning
rover planning
Online Access:https://www.tandfonline.com/doi/10.1080/17445647.2022.2112777

Internet

https://www.tandfonline.com/doi/10.1080/17445647.2022.2112777

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