A method for sea-ice segmentation of SAR imagery is proposed in this paper. It is based on the multi-location descriptor extraction in salient image points, which indicate image locations with temporal change, high intensity contrast, regional homogeneity and shape saliency. A novel spatiotemporal operator is used to extract the feature points, which advantageously integrates temporal change with spatial saliency. The final segmentation by scale-adaptive region growing provides borders of sea ice regions. Preliminary experimental results confirmed the reliability of the proposed segmentation method and have shown its high potential for SAR image analysis.


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    Titel :

    Sea ice segmentation of SAR imagery using multi-temporal and multi-scale feature extraction


    Beteiligte:
    Palenichka, R. (Autor:in) / Hirose, T. (Autor:in) / Lakhssassi, A. (Autor:in) / Petrou, M. (Autor:in) / Zaremba, M. (Autor:in)


    Erscheinungsdatum :

    01.09.2011


    Format / Umfang :

    364752 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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