This paper describes a technique recently developed for target detection and false alarm reduction for the Predator unmanned aerial vehicle (UAV) tactical endurance synthetic aperture radar (TESAR) automatic target recognition (ATR) system. The approach does not attempt to label various objects in the SAR image (e.g., buildings, trees, roads); instead, it finds target-like characteristics in the image and compares their statistical/spatial relationship to larger structures in the scene. To do this, the approach merges the output of multiple CFAR (constant false alarm ratio) surfaces through a sequence of mathematical morphology tests. Application of this detector to the Predator's SAR ATR algorithm suite produced a stunning reduction of 1 order of magnitude in the number of cues yielded by Predator's baseline detector.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Simultaneous multitarget detection and false alarm mitigation algorithm for the Predator UAV TESAR ATR system


    Beteiligte:
    Rosario, D.S. (Autor:in)


    Erscheinungsdatum :

    01.01.1999


    Format / Umfang :

    269837 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





    On false alarm mitigation

    Bock, J.R. / Brotherton, T. / Grabill, P. et al. | IEEE | 2006


    False Alarm Mitigation of Vibration Diagnostic Systems

    Byington, Carl S. / Watson, Matthew J. / Amin, Sanket et al. | IEEE | 2008


    Multitarget tracking algorithm performance evaluation

    Zheng, H. Farooq, M. Main, R. R. | British Library Conference Proceedings | 1999