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Wright, Jack; Barrett, Alexander M.; Fawdon, Peter; Favaro, Elena A.; Balme, Matthew R.; Woods, Mark J. and Karachalios, Spyros
(2022).
DOI: https://doi.org/10.1080/17445647.2022.2095935
Abstract
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 terrain in four HiRISE images of Jezero even though the landforms in the Jezero study area were slightly different from those in the training dataset. We mosaicked the NOAH-H classified rasters and compared them with a manually generated photogeological map, and with Perseverance rover and Ingenuity helicopter images. We find that grouped NOAH-H classes correspond well with the humanmade map and that individual classes are corroborated by the available ground-truth images. We conclude that our NOAH-H products can be refined for feeding into traversability analysis of the ExoMars Rosalind Franklin rover landing site at Oxia Planum and that they can also be used to aid the photogeological mapping process.
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About
- Item ORO ID
- 84535
- Item Type
- Journal Item
- ISSN
- 1744-5647
- Project Funding Details
-
Funded Project Name Project ID Funding Body Planetary Science at the Open University 2020-2023 ST/T000228/1 STFC Novelty or Anomaly Hunter (NOAH) 4000118843/16/NL/ LvH1145 – Novelty or Anomaly Hunter (NOAH) European Space Agency Not Set ST/V001965/1 UKSA UK Space Agency UK ExoMars Rover Landing Site Science and Characterisation ST/R001413/1 UKSA UK Space Agency Not Set ST/T002913/1 UKSA UK Space Agency - Keywords
- Mars surface; geomorphology; Jezero crater; machine learning; deep learning; rover planning
- Academic Unit or School
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Faculty of Science, Technology, Engineering and Mathematics (STEM) > Physical Sciences
Faculty of Science, Technology, Engineering and Mathematics (STEM) - Research Group
- ?? space ??
- Copyright Holders
- © 2022 The Authors
- Related URLs
- Depositing User
- Jack Wright