Flight duration is a key design issue for the monitoring applications based on the UAVs. Based on the assumption that UAVs often fly at a high altitude, the resolution of images captured by the UAVs is not high enough. Thus, the problem of positioning the UAV can be solved by image matching. When a UAV comes to a certain place that it has ever been to, there are the same objects in the images that it takes currently and a short time ago. We propose a text retrieval like method based on SIFT vectors for computation efficient in image matching. Experiments show that our method is good at discriminating between images taken at different places.


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    Titel :

    Have I Ever been to this Place? A SIFT Based Method for UAV



    Erschienen in:

    Applied Mechanics and Materials ; 644-650 ; 1386-1390


    Erscheinungsdatum :

    2014-09-22


    Format / Umfang :

    5 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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