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Aspects of handling data from astronomical images

  • A. Hooley
  • E. J. Kibblewhite
  • M. T. Bridgeland
  • D. A. Horne
4. Remote Sensing And Image Processing Applications
Part of the Lecture Notes in Computer Science book series (LNCS, volume 81)

Abstract

Astronomical photographic data bases can have sizes ranging from a few thousand to many billions of bytes. Much of the data processing can be regarded as a filtering process which reduces these large input sets to very much smaller subsets. We give as an example the problem of detecting a complete set of astronomical objects of a specific type (QSOs), and describe in detail the algorithms, data structures and processing techniques used in the SRC Automatic Plate Measuring machine at Cambridge. This system completely analyses 4 billion bytes of data per day.

Keywords

Random Access Memory Arithmetic Unit Astronomical Object Astronomical Image Block Address 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1980

Authors and Affiliations

  • A. Hooley
    • 1
  • E. J. Kibblewhite
    • 1
  • M. T. Bridgeland
    • 1
  • D. A. Horne
    • 1
  1. 1.Institute of AstronomyCambridge

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