• DocumentCode
    3846229
  • Title

    Method for Crater Detection From Martian Digital Topography Data Using Gradient Value/Orientation, Morphometry, Vote Analysis, Slip Tuning, and Calibration

  • Author

    Goran Salamuniccar;Sven Loncaric

  • Author_Institution
    AVL-AST d.o.o., Zagreb-Novi Zagreb, Croatia
  • Volume
    48
  • Issue
    5
  • fYear
    2010
  • Firstpage
    2317
  • Lastpage
    2329
  • Abstract
    Recently, all the craters from the major currently available manually assembled catalogs have been merged into the catalog with 57 633 known Martian impact craters. This paper presents a new crater detection algorithm (CDA) for the search of still uncataloged impact craters. The CDA is based on fuzzy edge detectors and Radon/Hough transform and utilizes digital topography data instead of image data. The critical parts of the method providing increased accuracy are as follows: (1) gradient-value/orientation-based techniques; (2) automated morphometry measurements of depth/diameter ratio, circularity, topographic cross-profile, rim, central peak, and radial range where the crater is preserved; (3) circularity analysis of votes in parameter space; (4) slip tuning of detected craters´ parameters; and (5) calibration which partially compensates differences in morphology between small and large craters. Using the framework for the evaluation of CDAs, in comparison with prior work, the proposed detector shows the following: (1) significantly larger area under the free-response receiver operating characteristics (AUROC) and (2) significantly larger number of correct detections. Using the Mars Orbiter Laser Altimeter data as input, the CDA proposed numerous candidates for GT-57633 catalog extension. After the manual survey of all proposed craters and rejection of false detections, 57 592 impact craters were confirmed as correct detections. The accompanying result to the CDA is a new GT-115225 catalog.
  • Keywords
    "Surfaces","Voting","Calibration","Catalogs","Laser tuning","Image edge detection","Detectors","Extraterrestrial measurements","Assembly","Detection algorithms"
  • Journal_Title
    IEEE Transactions on Geoscience and Remote Sensing
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/TGRS.2009.2037750
  • Filename
    5404398