Mawrth Vallis, Mars, classified using the NOAH-H deep-learning terrain classification system

Mawrth Vallis, Mars, classified using the NOAH-H deep-learning terrain classification system

ABSTRACTA deep learning (DL) terrain classification system, the Novelty and Anomaly Hunter – HiRISE (NOAH-H) was used to produce a terrain map of Mawrth Vallis, Mars. With it, we digitised the extent and distribution of transverse aeolian ridges (TARs), a common type of martian aeolian bedform. We p...

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Bibliographic Details
Main Authors: Alexander M. Barrett, Peter Fawdon, Elena A. Favaro, Matthew R. Balme, Jack Wright, Mark J. Woods, Spyros Karachalios, Eleni Bohacek, Levin Gerdes, Elliot Sefton-Nash, Luc Joudrier
Format: Article
Language:English
Published: Taylor & Francis Group 2023-12-01
Series:Journal of Maps
Subjects:
Mars
machine learning
Mawrth Vallis
ExoMars
Online Access:https://www.tandfonline.com/doi/10.1080/17445647.2023.2285480

Internet

https://www.tandfonline.com/doi/10.1080/17445647.2023.2285480

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