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  • 2005-111 presentation.pdf

    Creator:
    Vega, Dan P.
    Abstract:
    Spatial Supervised Learning seeks to learn how to assign a label to each pixel in a spatial grid such as the pixels of remote-sensed images. The standard approach is to treat each grid cell separately and to use only the measured features of the grid cell to determine the assigned...
    Full Text:
    images at the top corresponds to a recurrent sliding window classifier in a single scan order (the

  • 2005-111.pdf

    Creator:
    Vega, Dan P.
    Abstract:
    Spatial Supervised Learning seeks to learn how to assign a label to each pixel in a spatial grid such as the pixels of remote-sensed images. The standard approach is to treat each grid cell separately and to use only the measured features of the grid cell to determine the assigned...
    Full Text:
    Spatial Supervised Learning Using Recurrent Sliding Window Classifiers Dan