When vision is provided through thermal-imaging systems field-of-view is reduced, effectively the soldier must operate with severe tunnel vision and so there is a requirement for a system which provides automated warning and immersive imaging. We present a computational multi-aperture thermal infrared (MA-TIR) imaging system with single-photon range imaging to provide enhanced video-rate detection of obscured biological signatures in clutter. Our multi-camera computational imaging system creates a 360° panoramic image, and we employ synthetic baseline integral imaging (SBII) for the construction of three-dimensional thermal scenes, including detection of occluded objects. We further fuse thermal imaging with covert time-correlated single-photon counting (TCSPC) LIDAR to provide the complementary capability of video-rate ranging with the ability to detect and classify targets through clutter, particularly based on movement signatures. Finally, we demonstrate the ability to discriminate between biological scene components and static clutter based on temporal modulations of picosecond resolution TCSPC returns.


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    Titel :

    Multi-aperture 360-degree panoramic imaging for enhanced situational awareness


    Beteiligte:
    Cowan, Laura V. (Autor:in) / Lyons, Ashley (Autor:in) / Babington, James (Autor:in) / Carles, Guillem (Autor:in) / Wood, Andy (Autor:in) / Harvey, Andy (Autor:in)

    Kongress:

    Optical Design and Testing X ; 2020 ; Online Only,China


    Erschienen in:

    Proc. SPIE ; 11548


    Erscheinungsdatum :

    2020-10-10





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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