In this paper, a new algorithm is proposed for civil airport runway detection in polarimetric synthetic aperture radar (POLSAR) image based on unsupervised classification. First, the contents of POLSAR image are classified into ten categories with scattering characteristics of terrain and Wishart classifier; then suspected airport areas are extracted from classification result based on the power property of terrain; Structural features are used for final detection of the true runway. Experimental results with measured POLSAR data demonstrate the validity of the proposed method which has a high correct detection rate and a low false alarm rate.


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    Title :

    Automatic runway detection based on unsupervised classification in polsar image


    Contributors:
    Ping Han (author) / Zheng Cheng (author) / Ling Chang (author)


    Publication date :

    2016-04-01


    Size :

    1325510 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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