The Adaptive Learning Network Synthesis methodology has been used to implement an image classification algorithm for infrared images. Using features extracted from transforms of the original image, the algorithm achieves range and aspect angle independent separation of images that contain a specific target (a tank) from images that do not contain the target. A ROC analysis of the algorithm, using 385 sample images, shows >95% detection rate, <5% false alarm rate, and a small (<1%) false dismissal rate.


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    Title :

    Target Recognition For Missile Guidance Using Adaptive Learning Networks


    Contributors:

    Conference:

    Image Processing for Missile Guidance ; 1980 ; San Diego,United States


    Published in:

    Publication date :

    1980-12-23





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




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