• DocumentCode
    2060259
  • Title

    Structural indexing of satellite images using texture feature extraction for retrieval

  • Author

    Gebril, Mohamed ; Buaba, Ruben ; Homaifar, Abdollah ; Kihn, Eric ; Zhizhin, Mikhail

  • Author_Institution
    Dept. of Electr. & Comput. Eng., North Carolina Agric. & Tech. State Univ., Greensboro, NC, USA
  • fYear
    2010
  • fDate
    6-13 March 2010
  • Firstpage
    1
  • Lastpage
    9
  • Abstract
    A mixture of feature extraction (FE) and a Locality Sensitive Hashing (LSH) based searching algorithm to search for similarity in satellite imagery is presented. The goal is to build an accurate and fast query-by-example using content based image retrieval based on the information extracted from satellite image data. We have investigated and described various feature extraction methods relevant to our work in this paper. The experimental results demonstrate satisfactory retrieval efficiency based on the proposed model. The results show the effectiveness of our approach.
  • Keywords
    feature extraction; geophysical image processing; image retrieval; image retrieval; locality sensitive hashing; satellite imagery; satellite images; structural indexing; texture feature extraction; Content based retrieval; Feature extraction; Humans; Image retrieval; Indexing; Information retrieval; Meteorology; Satellites; Sea surface; Surface texture; Image retrieval; Item; Texture Feature vector; similarity measure;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Aerospace Conference, 2010 IEEE
  • Conference_Location
    Big Sky, MT
  • ISSN
    1095-323X
  • Print_ISBN
    978-1-4244-3887-7
  • Electronic_ISBN
    1095-323X
  • Type

    conf

  • DOI
    10.1109/AERO.2010.5446704
  • Filename
    5446704