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.


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    Title :

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


    Contributors:
    Moyer, L. R. (author) / Spak, J. (author) / Lamanna, P. (author)


    Publication date :

    2011-10-01


    Size :

    2736457 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



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