The Hough transform (HT) algorithm detects straight-line features in two-dimensional data. This correspondence extends the HT to N-dimensional data to efficiently combine multiple first-threshold crossings from moving targets. The data dimensions can be the target position, its range and range-rate, and/or the first-threshold crossing times. This multi-dimensional HT (MHT) technique can be applied to enhance the detection of targets in random clutter backgrounds through the application of track-before-detect (TBD) processing.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    A Multi-Dimensional Hough Transform-Based Track-Before-Detect Technique for Detecting Weak Targets in Strong Clutter Backgrounds


    Beteiligte:
    Moyer, L. R. (Autor:in) / Spak, J. (Autor:in) / Lamanna, P. (Autor:in)


    Erscheinungsdatum :

    01.10.2011


    Format / Umfang :

    2736457 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Track-Before-Detect Strategies for Radar Detection in G0-Distributed Clutter

    Wei Yi / Haichao Jiang / Kirubarajan, Thia et al. | IEEE | 2017


    Track-before-detect for sea clutter rejection: tests with real data

    Aprile, Angelo / Grossi, Emanuele / Lops, Marco et al. | IEEE | 2016



    Track-Before-Detect Algorithms for Targets with Kinematic Constraints

    Orlando, D. / Ricci, G. / Bar-Shalom, Y. | IEEE | 2011