In this paper, a new algorithm of runways detection based on classification is proposed for PolSAR image, in which scattering similarity and structural characteristics of airport runways are used as target feature for classification. Firstly, training sample templates are built by initial terrain classification with scattering similarity. Then, Bayesian classification is used to classify the whole image. Finally, morphology filtering and the runways structural features such as parallels, topologic property are used to detect real runways. Multi-look fully polarimetric SAR data acquired by U.S. UAVSAR systems is used to verify the proposed algorithm. Experimental results show that the novel method can detect runways effectively and has a low false alarm rate. Besides, the detected runways keep an intact structure and clear outlines.


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    Title :

    Runways detection based on scattering similarity and structural characteristics


    Contributors:
    Han, Ping (author) / Chang, Ling (author) / Shi, Qingyan (author) / Qu, Jingyi (author)


    Publication date :

    2015-04-01


    Size :

    399243 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Runways detection based on scattering similarity and structural characteristics

    Han, Ping / Chang, Ling / Shi, Qingyan et al. | IEEE | 2015


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    W. B. Horne | NTIS | 1975


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    Campbell, Q.A. | Engineering Index Backfile | 1929


    Wet runways

    Horne, W. B. | NTRS | 1975


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    Collet, François | SLUB | 1979