This paper demonstrates the combination of lidar and passive polarimetric infrared imaging for object detection and classification. Lidar imaging characterizes reflective properties and provides high-resolution 3-D spatial information, and passive imaging offers faster imaging capabilities of large scenes. A cooperative imaging approach improves the imaging process by exploiting polarimetric features of hidden objects and cueing only the anomalous regions for further interrogation. Then, features from each sensor are combined for object classification. A demonstrator is assembled and utilized to evaluate the hybrid approach in an outdoor environment. The adaptive scanning technique reduces lidar scan time by 99%, locates the hidden object among the top areas cued, and outperforms single modality classification accuracy by over 20%. The demonstration verifies that hybrid lidar and passive polarimetric imaging is applicable for the classification of objects hidden in a large scene.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Demonstration of hybrid lidar and passive polarimetric infrared imaging


    Beteiligte:

    Kongress:

    Signal Processing, Sensor/Information Fusion, and Target Recognition XXX ; 2021 ; Online Only,Florida,United States


    Erschienen in:

    Proc. SPIE ; 11756


    Erscheinungsdatum :

    2021-04-12





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Polarimetric passive coherent location

    Colone, Fabiola / Lombardo, Pierfrancesco | IEEE | 2015


    Passive polarimetric IR target classification

    Sadjadi, F.A. / Chun, C.S.L. | IEEE | 2001