Combining single-pixel imaging with frequency modulated continuous wave radar in the submillimeter wavelength regime provides a promising alternative to high cost detector arrays for 3D surface imaging. We investigate how compressive sensing reconstructions can be applied for this specific scenario. An iterative reconstruction method is proposed and numerical experiments with simulated data based on a human 3D point cloud are performed. Further, we present a model extension for exploiting additional knowledge about the depth information during recovery.


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    Titel :

    Towards a THz stand-off Single-Pixel Camera using Compressed Sensing


    Beteiligte:
    Fürsich, Benjamin (Autor:in) / Augustin, Sven (Autor:in) / Zhu, Xiao Xiang (Autor:in) / Bamler, Richard (Autor:in) / Hübers, H.-W. (Autor:in)

    Kongress:

    2016 ; Aachen, Deutschland


    Erscheinungsdatum :

    2016-09-21


    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Deutsch




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