In this paper, a new approach for target recognition is proposed and tested on backscattering returns of high range resolution (HRR) radar. The feature vector is constructed from the geometry information of the scattering centers extracted from the HRR radar returns of targets. It is found that the geometry parameters are more robust to the aspect angle variations than the range profile. The dimension of the feature vector based on the geometry parameters is much smaller than that based on the range profile that can be used as a good feature vector. The algorithm is applied to the recognition of three scaled models of aircraft using a radial basis function (RBF) neural network.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    HRR target recognition using the geometry information of scattering centers


    Beteiligte:
    Zhang Xun (Autor:in) / Zhuang Zhaowen (Autor:in) / Guo Guirong (Autor:in)


    Erscheinungsdatum :

    01.01.1997


    Format / Umfang :

    364599 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    HRR Target Recognition Using the Geometry Information of Scattering Centers

    Zhang, X. / Guo, G. / Zhuang, Z. et al. | British Library Conference Proceedings | 1997


    Radar target modeling and recognition based on scattering centers

    Shunping Xiao / Guirong Guo / Zhaowen Zhuang et al. | IEEE | 1994


    Radar Target Modeling and Recognition Based on Scattering Centers

    Xiao, S. / Guo, G. / Zhuang, Z. et al. | British Library Conference Proceedings | 1994