In this paper, an unmanned aerial vehicle (UAV) based forest fire detection and tracking method is proposed. Firstly, a brief illustration of UAV-based forest fire detection and tracking system is presented. Then, a set of forest fire detection and tracking algorithms are developed including median filtering, color space conversion, Otsu threshold segmentation, morphological operations, and blob counter. The basic idea of the proposed method is to adopt the channel “a” in Lab color model to extract fire-pixels by making use of chromatic features of fire. Numerous experimental validations are carried out, and the experimental results show that the proposed methodology can effectively extract the fire pixels and track the fire zone.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    UAV-based forest fire detection and tracking using image processing techniques


    Beteiligte:
    Yuan, Chi (Autor:in) / Liu, Zhixiang (Autor:in) / Zhang, Youmin (Autor:in)


    Erscheinungsdatum :

    01.06.2015


    Format / Umfang :

    554839 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch






    Fire detection using infrared images for UAV-based forest fire surveillance

    Yuan, Chi / Liu, Zhixiang / Zhang, Youmin | IEEE | 2017


    Forest fire extinguishing unmanned aerial vehicle tracking system

    XIONG XINMING | Europäisches Patentamt | 2020

    Freier Zugriff