Now showing items 1-4 of 4

    • Interactive training of advanced classifiers for mining remote sensing image archives 

      Aksoy, Selim; Koperski, K.; Tusk, C.; Marchisio G. (ACM, 2004)
      Advances in satellite technology and availability of down-loaded images constantly increase the sizes of remote sensing image archives. Automatic content extraction, classification and content-based retrieval have become ...
    • Land cover classification with multi-sensor fusion of partly missing data 

      Aksoy, S.; Koperski, K.; Tusk, C.; Marchisio, G. (American Society for Photogrammetry and Remote Sensing, 2009-05)
      We describe a system that uses decision tree-based tools for seamless acquisition of knowledge for classification of remotely sensed imagery. We concentrate on three important problems in this process: information fusion, ...
    • Learning bayesian classifiers for scene classification with a visual grammar 

      Aksoy, Selim; Koperski, K.; Tusk, C.; Marchisio, G.; Tilton J. C. (IEEE, 2005)
      A challenging problem in image content extraction and classification is building a system that automatically learns high-level semantic interpretations of images. We describe a Bayesian framework for a visual grammar that ...
    • Learning bayesian classifiers for scene classification with a visual grammar 

      Aksoy, Selim; Koperski, K.; Tusk, C.; Marchisio, G.; Tilton, J. C. (IEEE, 2005-03)
      A challenging problem in image content extraction and classification is building a system that automatically learns high-level semantic interpretations of images. We describe a Bayesian framework for a visual grammar that ...