View in EDS

Automated Crater Detection, A New Tool for Mars Cartography and Chronology.

Saved in:
Bibliographic Details
Title: Automated Crater Detection, A New Tool for Mars Cartography and Chronology.
Authors: Jung Rack Kim1 jkim@ge.ucl.ac.uk, Muller, Jan-Peter1, van Gasselt, Stephan2, Morley, Jeremy G.1, Neukum, Gerhard2
Source: Photogrammetric Engineering & Remote Sensing. Oct2005, Vol. 71 Issue 10, p1205-1217. 13p.
Subjects: Lunar craters, Algorithms, Map projection, Geomorphology, Cartography, Detectors
Abstract: An automated crater detection algorithm is presented which exploits image data. The algorithm is briefly described and its application demonstrated on a variety of different Martian geomorphological areas and sensors (Viking Orbiter Camera, Mars Orbiter Camera (MOC), Mars Orbiter Laser Altimeter (MOLA), and High Resolution Stereo Camera (HRSC)). We show assessment results through both an inter-comparison of automated crater locations with those from the manually-derived Mars Crater Consortium (MCC) catalogue and the manually-derived craters. The detection algorithm attains an accuracy of 70 to 90 percent and a quality factor of 60 to 80 percent depending on target sensor type and geomorphology. We also present crater detection results derived from HRSC images onboard the ESA Mars Express on a comparison between manually-determined Size-Frequency Distributions (SFDs) and those derived fully automatically. The approach described appears to offer great potential for chronological research, geomatic and geological analysis and for other purposes of extra-terrestrial planetary surface mapping. [ABSTRACT FROM AUTHOR]
Copyright of Photogrammetric Engineering & Remote Sensing is the property of ASPRS: The Imaging & Geospatial Information Society and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
FullText Text:
  Availability: 0
Header DbId: egs
DbLabel: Engineering Source
An: 18580153
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Automated Crater Detection, A New Tool for Mars Cartography and Chronology.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Jung+Rack+Kim%22">Jung Rack Kim</searchLink><relatesTo>1</relatesTo><i> jkim@ge.ucl.ac.uk</i><br /><searchLink fieldCode="AR" term="%22Muller%2C+Jan-Peter%22">Muller, Jan-Peter</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22van+Gasselt%2C+Stephan%22">van Gasselt, Stephan</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Morley%2C+Jeremy+G%2E%22">Morley, Jeremy G.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Neukum%2C+Gerhard%22">Neukum, Gerhard</searchLink><relatesTo>2</relatesTo>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Photogrammetric+Engineering+%26+Remote+Sensing%22">Photogrammetric Engineering & Remote Sensing</searchLink>. Oct2005, Vol. 71 Issue 10, p1205-1217. 13p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Lunar+craters%22">Lunar craters</searchLink><br /><searchLink fieldCode="DE" term="%22Algorithms%22">Algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Map+projection%22">Map projection</searchLink><br /><searchLink fieldCode="DE" term="%22Geomorphology%22">Geomorphology</searchLink><br /><searchLink fieldCode="DE" term="%22Cartography%22">Cartography</searchLink><br /><searchLink fieldCode="DE" term="%22Detectors%22">Detectors</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: An automated crater detection algorithm is presented which exploits image data. The algorithm is briefly described and its application demonstrated on a variety of different Martian geomorphological areas and sensors (Viking Orbiter Camera, Mars Orbiter Camera (MOC), Mars Orbiter Laser Altimeter (MOLA), and High Resolution Stereo Camera (HRSC)). We show assessment results through both an inter-comparison of automated crater locations with those from the manually-derived Mars Crater Consortium (MCC) catalogue and the manually-derived craters. The detection algorithm attains an accuracy of 70 to 90 percent and a quality factor of 60 to 80 percent depending on target sensor type and geomorphology. We also present crater detection results derived from HRSC images onboard the ESA Mars Express on a comparison between manually-determined Size-Frequency Distributions (SFDs) and those derived fully automatically. The approach described appears to offer great potential for chronological research, geomatic and geological analysis and for other purposes of extra-terrestrial planetary surface mapping. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Photogrammetric Engineering & Remote Sensing is the property of ASPRS: The Imaging & Geospatial Information Society and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=18580153
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.14358/PERS.71.10.1205
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 13
        StartPage: 1205
    Subjects:
      – SubjectFull: Lunar craters
        Type: general
      – SubjectFull: Algorithms
        Type: general
      – SubjectFull: Map projection
        Type: general
      – SubjectFull: Geomorphology
        Type: general
      – SubjectFull: Cartography
        Type: general
      – SubjectFull: Detectors
        Type: general
    Titles:
      – TitleFull: Automated Crater Detection, A New Tool for Mars Cartography and Chronology.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Jung Rack Kim
      – PersonEntity:
          Name:
            NameFull: Muller, Jan-Peter
      – PersonEntity:
          Name:
            NameFull: van Gasselt, Stephan
      – PersonEntity:
          Name:
            NameFull: Morley, Jeremy G.
      – PersonEntity:
          Name:
            NameFull: Neukum, Gerhard
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 10
              Text: Oct2005
              Type: published
              Y: 2005
          Identifiers:
            – Type: issn-print
              Value: 00991112
          Numbering:
            – Type: volume
              Value: 71
            – Type: issue
              Value: 10
          Titles:
            – TitleFull: Photogrammetric Engineering & Remote Sensing
              Type: main
ResultId 1