A study of the maximum likelihood registration (MLR) algorithm for spatial alignment of multiple, possibly dissimilar (active or passive) sensors is presented. The MLR algorithm is a batch algorithm which outputs estimates of the registration parameters, registered sensor measurements and registered target location estimates, expressed in a common coordinate system. The Cramer-Rao type bound for registration of multiple dissimilar sensors is discussed and some numerical examples for sensor registration are presented in support of the theory.


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    Titel :

    Maximum likelihood registration for multiple dissimilar sensors


    Beteiligte:
    Okello, N. (Autor:in) / Ristic, B. (Autor:in)


    Erscheinungsdatum :

    01.07.2003


    Format / Umfang :

    396199 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch