• DocumentCode
    2208121
  • Title

    Astronomical systems analysis and object detection

  • Author

    Mojzis, Frantisek ; Kukal, Jaromir ; Svihlik, Jan

  • Author_Institution
    Dept. of Comput. & Control Eng., Inst. of Chem. Tech. in Prague, Prague, Czech Republic
  • fYear
    2012
  • fDate
    17-18 April 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper is devoted to the astronomical systems analysis and object detection in images acquired by these systems. It brings general overview of object detection methods used in digital image processing and focuses on different approach via. mathematical statistics. Astronomical systems analysis introduces statistical test for Poisson distribution and False Discovery Rate used in multiple hypothesis testing. Mentioned methods are firstly used for analysis of the dark frames. These results are then used for the purpose of object detection. Proposed methods are applied to the model data and then to the real images acquired by MAIA (Meteor Automatic Imager and Analyzer) system.
  • Keywords
    Poisson distribution; astronomical image processing; object detection; MAIA system data; Meteor Automatic Imager and Analyzer system data; Poisson distribution; astronomical system analysis; dark frame analysis; digital image processing; false discovery rate; mathematical statistics; multiple hypothesis testing; object detection methods; statistical test; Charge coupled devices; Data models; Digital images; Object detection; Temperature sensors; Testing; Transforms; Astronomical systems; False Discovery Rate; Hypothesis testing; Object detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radioelektronika (RADIOELEKTRONIKA), 2012 22nd International Conference
  • Conference_Location
    Brno
  • Print_ISBN
    978-1-4673-0659-1
  • Type

    conf

  • Filename
    6207637