• DocumentCode
    2262608
  • Title

    Fast Approximate Matching of Astronomical Objects

  • Author

    Fu, Bin ; Fink, Eugene ; Gibson, Garth ; Carbonell, Jaime

  • Author_Institution
    Comput. Sci., Carnegie Mellon Univ., Pittsburgh, PA, USA
  • fYear
    2012
  • fDate
    24-28 Sept. 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    When astronomers analyze sky images, they need to identify the newly observed celestial objects in the catalog of known objects. We have developed a technique for indexing catalogs, which supports fast retrieval of closely matching catalog objects for every object in new images. It allows processing of a sky image in less than a second, and it scales to catalogs with billions of objects.
  • Keywords
    astronomical image processing; image matching; astronomers; catalog indexing; fast approximate astronomical object matching; newly observed celestial objects; sky images; Catalogs; Indexing; Loading; Object recognition; Search problems; Sorting; Strips; Large-scale data; astrophysics application; eScience; indexing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cluster Computing Workshops (CLUSTER WORKSHOPS), 2012 IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4673-2893-7
  • Type

    conf

  • DOI
    10.1109/ClusterW.2012.38
  • Filename
    6355840