The automated production of maps of human settlement from recent satellite images is essential to detailed studies of urbanization, population movement, and the like. Commercial satellite imagery is becoming available with sufficient spectral and spatial resolution to apply computer vision techniques previously considered only for laboratory (high resolution, low noise) images. In this paper we attempt to extract human settlement from IKONOS 4-band and panchromatic images using spectral segmentation together with a form of generalized second-order statistics and detection of edges, corners, and other candidate human-made features in the imagery.


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    Titel :

    Detecting human settlements in satellite images


    Beteiligte:

    Kongress:

    Optical Engineering at the Lawrence Livermore National Laboratory ; 2003 ; San Jose,CA,United States


    Erschienen in:

    Erscheinungsdatum :

    2003-06-18





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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