We present a complete processing line to generate an object based description of optical remote sensing (RS) images. A segmentation algorithm is used to generate a partition of regions and simplify the volume of data. Results are still at the pixel level. Based on topology analyses, a dynamical algorithm is proposed to retrieve, extract the segmented regions and encode them in a tree structure which describes their topological relations (adjacencies, inclusions). The overall collected information constitutes a consistent and independent database, generated efficiently on standard workstation. Many applications are possible, such as content based image retrieval, image description and compression, object classification or image-object fusion. A scenario is presented to emphasize interest of the method in the case of 3D visualization enhancement: image-objects are integrated on elevation data (digital elevation models, DEM) in order to generate more realistic rendering.


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    Title :

    Object and topology extraction from remote sensing images


    Contributors:
    Maire, C. (author) / Datcu, M. (author)


    Publication date :

    2005-01-01


    Size :

    911223 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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