This paper is focused on the characterization of GNSS signals reception environment by estimating the percentage of visible sky. A new segmentation technique based on a color watershed using an adaptive combination of color and texture information is proposed. This information is represented by two morphological gradients, a classical color gradient and a texture gradient based on co-occurrence matrices. The segmented images are then used as input for a k-means classifier in order to determine the percentage of visible sky in fish-eye images. The obtained classification results are evaluated to demonstrate the effectiveness and the reliability of the proposed approach.


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    Title :

    Characterization of the reception environment of GNSS signals using a texture and color based adaptive segmentation technique


    Contributors:
    Cohen, A (author) / Meurie, C (author) / Ruichek, Y (author) / Marais, J (author)


    Publication date :

    2010-06-01


    Size :

    1768490 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English





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