An algorithm of airfield runway detection from high resolution synthetic aperture radar image is proposed. Runways are identified by using Hough transform technique, followed by a series of speckle suppression and region of interest (ROI) segmentation. First, speckle suppression based on edge preserving is described. Then, constant false alarm rate detector with probability iteration is used for ROI segmentation. Finally, peak values detected from Hough transform domain determine the edge location of runway. High resolution images are used to illustrate the algorithm, and experimental results show that performance is satisfactory.


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    Title :

    Airfield Runway Detection from Synthetic Aperture Radar Image


    Contributors:
    Fu, Yili (author) / Xing, Kun (author) / Han, Xianwei (author) / Zhang, Hongfeng (author)


    Publication date :

    2008-05-01


    Size :

    1090643 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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