• DocumentCode
    2229193
  • Title

    Query by example in Earth-Observation image archive using data compression-based approach

  • Author

    Espinoza-Molina, D. ; Quartulli, M. ; Datcu, M.

  • Author_Institution
    German Aerosp. Center, Remote Sensing Technol. Inst., Wessling, Germany
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    6035
  • Lastpage
    6038
  • Abstract
    This paper presents an implementation of query by example in Earth Observation image archive using data compression-based approach. Data compression approach allows to exploit the compression properties of the objects and to estimate the shared information between them, this concept is extended to image retrieval for finding similar objects in the image archive. Our implementation is based on LZW algorithm for compressing the image content and extracting features of the images. The fast compression distance (FCD) is defined as a similarity metric in order to retrieve the most similar images. This tool is satisfactory implemented and tested using optical and SAR images.
  • Keywords
    data compression; feature extraction; geophysical image processing; geophysical techniques; image coding; image retrieval; synthetic aperture radar; Earth Observation image archive; LZW algorithm; SAR images; compression properties; data compression-based approach; fast compression distance; feature extraction; image content; image retrieval; optical images; similarity metric; Dictionaries; Feature extraction; Image coding; Image retrieval; Measurement; Search engines; Content based image retrieval; High resolution optical and SAR; fast compression distance; image retrieval; query by example; similarity metrics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
  • Conference_Location
    Munich
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4673-1160-1
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2012.6352231
  • Filename
    6352231