A database of 2 by 2 foot resolution ISAR images and flight data SAR images of the same vehicles has been used to compare the performance of several SAR algorithms for critical mobile target ATR. Algorithms evaluated include a full image nearest neighbor classifier, a nearest neighbor classifier using principal components image compression, a simple, reduced-dimension classifier where the features correspond to projections of the image onto the principal axes of the imaged object, and a MACE variant composite filter.


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    Title :

    Mobile vehicle ATR for a medium resolution SAR


    Contributors:

    Conference:

    Signal Processing, Sensor Fusion, and Target Recognition V ; 1996 ; Orlando,FL,United States


    Published in:

    Publication date :

    1996-06-14





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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