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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    Title :

    Research on a Method of Airport Runway Detection Algorithm


    Contributors:
    Xie, Kun (author) / Chen, Jinlong (author) / Yang, Minghao (author)


    Publication date :

    2019-07-01


    Size :

    3648639 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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