Jezero crater, Mars: application of the deep learning NOAH-H terrain classification system

Jezero crater, Mars: application of the deep learning NOAH-H terrain classification system

We applied a deep learning terrain classification system, the ‘Novelty or Anomaly Hunter – HiRISE’ (NOAH-H), originally developed for the ExoMars landing sites in Oxia Planum and Mawrth Vallis, to the Mars 2020 Perseverance rover landing site in Jezero crater. NOAH-H successfully classified the terr...

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Bibliographic Details
Main Authors: Jack Wright, Alexander M. Barrett, Peter Fawdon, Elena A. Favaro, Matthew R. Balme, Mark J. Woods, Spyros Karachalios
Format: Article
Language:English
Published: Taylor & Francis Group 2022-08-01
Series:Journal of Maps
Subjects:
Mars’ surface
geomorphology
Jezero crater
machine learning
deep learning
rover planning
Online Access:https://www.tandfonline.com/doi/10.1080/17445647.2022.2095935

Internet

https://www.tandfonline.com/doi/10.1080/17445647.2022.2095935

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