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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    Title :

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


    Contributors:
    Palenichka, R. (author) / Hirose, T. (author) / Lakhssassi, A. (author) / Petrou, M. (author) / Zaremba, M. (author)


    Publication date :

    2011-09-01


    Size :

    364752 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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