The reliable detection and tracking of missile plumes in sequences of infrared images is a crucial factor in developing infrared missile warning systems for use in military and civil aircraft. This paper discusses the development of a set of algorithms that allow missile plumes to be detected, tracked and classified according to their perceived motion in the image plane. The aim is to classify the missile motion so as to provide an indication of the guidance law which is being used and, hence, to determine the type of missile that may be present and allow the appropriate countermeasures to be deployed. The algorithms allow for the motion of the host platform and they determine the missile motion relative to the fixed background provided by the scene. The tracks produced contain sufficient information to allow good discrimination between several standard missile types.


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    Title :

    Identification of missile guidance laws for missile warning systems applications


    Contributors:

    Conference:

    Signal and Data Processing of Small Targets 2006 ; 2006 ; Orlando (Kissimmee),Florida,United States


    Published in:

    Publication date :

    2006-05-03





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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