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Wallace, I.; Schwenzer, S. P.; Woods, M.; Read, N.; Wright, S.; Waumsley, K. and Joudrier, L.
(2017).
URL: http://www.hou.usra.edu/meetings/lpsc2017/pdf/1170...
Abstract
The observation of landforms, outcrops and small features within a (Martian) landscape is key to the understanding of its geologic past as well as present environmental conditions. Studies of such features have – for example – revealed the nature of streambeds at Gale Crater, and allowed to study Aeolian bedforms as they were encountered by the Curiosity, and Spirit rovers. With two active rovers (Opportunity, Curiosity) currently on Mars, and two more to be launched in 2020 (ExoMars, Mars2020), the imaging data sets are a huge, growing resource, which need to be explored as best as possible.
LabelMars (www.labelmars.net) is a citizen science activity to collect geological annotations of Martian rover navigation camera images. As part of the ESA NOAH (Novelty Or Anomaly Hunter) project it will provide a large, high quality dataset to develop stateof-the-art machine vision algorithms for autonomous science detection, targeted at future rover missions.
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- Item ORO ID
- 48660
- Item Type
- Conference or Workshop Item
- Project Funding Details
-
Funded Project Name Project ID Funding Body Novelty or Anomaly Hunter 300390 Industry project - Keywords
- high quality data set; crowd sourcing; Curiosity rover; Opportunity rover; Spirit rover
- Academic Unit or School
-
Faculty of Science, Technology, Engineering and Mathematics (STEM) > Environment, Earth and Ecosystem Sciences
Faculty of Science, Technology, Engineering and Mathematics (STEM) - Research Group
- ?? space ??
- Copyright Holders
- © 2017 The Authors
- Related URLs
- Depositing User
- Susanne Schwenzer