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An Approach for Matching Desired Non-feature Points on Mars Rock Targets Based on SIFT

  • Gui Chen
  • Dave Barnes
  • Pan LiLan
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7429)

Abstract

In Mars rover missions ExoMars is the forthcoming ESA/NASA 2018 mission, and one of the future goals is to cache rock samples for subsequent return to Earth as part of the Mars Sample Return (MSR) mission. This paper describes some early work with respect to our eventual objective, which is to use a manipulator mounted on a rover to acquire rock samples that are of scientific interest (such as metamorphic rock, sedimentary rock and igneous rock). Subsequently, we would be able to carry out analysis for these rocks by utilizing precise and various instruments on Earth. The current research is comprised of two parts: Target Identification and Non-Feature Points Matching, which are described below.

References

  1. 1.
    Barnes, D., et al.: Multi-Spectral Vision Processing for the ExoMars 2018 Mission (2011)Google Scholar
  2. 2.
    Barnes, D., et al.: The Europlanet RI TransNational Access Planetary Analogue Terrain Laboratory, PATLab (2008)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Gui Chen
    • 1
  • Dave Barnes
    • 1
  • Pan LiLan
    • 1
  1. 1.Department of Computer ScienceAberystwyth UniversityUK

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