This work focuses on the use of actual radar sensor data to construct a multifeature decision space formulation to the target identification (TID) problem. The decision space concepts are classical and the basic target features used can be extracted from the data provided by standard radar sensor operating modes. The target features used in the decision process along with the construction of a useful statistical description of each feature for a given target are presented. A multidimensional formulation of the decision space and the decision logic is also presented leading to a versatile multifeature based algorithm. The algorithm performance has been evaluated on live data and the results are reported.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    A multifeature decision space approach to radar target identification


    Contributors:
    Teti, J.G. (author) / Gorman, R.P. (author) / Berger, W.A. (author)


    Publication date :

    1996-01-01


    Size :

    2461077 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




    Research on Multifeature-Based Superposter Identification in Online Learning Forums

    Changri Luo / Xinhua Zhang / Tingting He et al. | DOAJ | 2021

    Free access

    Subregion Multifeature Fusion Oblique Vehicle Detection Algorithm

    Zeng, Juan / Li, Shou-yi / Zhang, Hong-chang | ASCE | 2020


    Multifeature fusion using pulse-coupled neural networks

    Inguva, R. Johnson, J. U. Schamschula, M. P. | British Library Conference Proceedings | 1999


    Moving shadow detection with multifeature joint histogram

    Su, Y. / Li, A. / Cai, Y. et al. | British Library Online Contents | 2014