• DocumentCode
    3559921
  • Title

    Crater Detection by a Boosting Approach

  • Author

    Martins, Rui P. ; Pina, P. ; Marques, Jorge S. ; Silveira, Margarida ; Silveira, Margarida

  • Author_Institution
    Inst. Super. Tecnico, Lisbon
  • Volume
    6
  • Issue
    1
  • fYear
    2009
  • Firstpage
    127
  • Lastpage
    131
  • Abstract
    An approach to automatically detect impact craters on planetary surfaces is presented in this letter. It is built up from a boosting algorithm proposed by Viola and Jones (2004) whose simplicity combined with an original learning strategy leads to a fast and robust process with consistent results. The approach is validated with image data sets from Mars surface captured by the Mars Orbiter Camera onboard Mars Global Surveyor probe.
  • Keywords
    Mars; astronomical image processing; astronomical techniques; feature extraction; image classification; planetary surfaces; Mars Global Surveyor probe; Mars Orbiter Camera; Mars surface image data sets; boosting approach; impact craters detection; learning strategy; Automatic detection; Mars; boosting; impact craters; learning;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing Letters, IEEE
  • Publisher
    ieee
  • Conference_Location
    12/16/2008 12:00:00 AM
  • ISSN
    1545-598X
  • Type

    jour

  • DOI
    10.1109/LGRS.2008.2006004
  • Filename
    4717240
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3559921