Ship detection from space is an important application for maritime traffic surveillance. However, fewer efforts were devoted to research on automatic detection from optical satellite imagery. This paper presents current progress in ship detection from optical imagery and provides an automatic ship detection algorithm based on the combination of a random saliency map and an image pyramid to detect vessels in ports or straits. The algorithm was tested with an average detectability of 83.2% for large and medium vessels and false alarm rate of 33.5%.


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    Title :

    A Method of Ship Detection in Optical Satellite Image Based on Saliency Map


    Contributors:
    Li, Zehui (author) / Xie, Xiaofang (author) / Zhao, Weihua (author) / Liu, Yong (author)

    Conference:

    Second International Conference on Transportation Information and Safety ; 2013 ; Wuhan, China


    Published in:

    ICTIS 2013 ; 2439-2447


    Publication date :

    2013-06-11




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




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