In view of the long and narrow characteristics of the airport runway function area, this paper proposes a method combining the Haar -like feature and the spherical neural network to detect the airport runway in remote sensing images. The algorithm first uses Haar-like to extract the target features and trains the strong classifier, and then further uses a spherical neural network model to eliminate false alarms. The experimental results show that the algorithm achieves good accuracy in detecting airport runways.


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    Titel :

    Research on a Method of Airport Runway Detection Algorithm


    Beteiligte:
    Xie, Kun (Autor:in) / Chen, Jinlong (Autor:in) / Yang, Minghao (Autor:in)


    Erscheinungsdatum :

    01.07.2019


    Format / Umfang :

    3648639 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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