• DocumentCode
    2230434
  • Title

    Compressive sensing LIDAR for 3D imaging

  • Author

    Howland, Gregory A. ; Zerom, Petros ; Boyd, Robert W. ; Howell, John C.

  • Author_Institution
    Dept. of Phys. & Astron., Univ. of Rochester, Rochester, NY, USA
  • fYear
    2011
  • fDate
    1-6 May 2011
  • Firstpage
    1
  • Lastpage
    2
  • Abstract
    We present a proof-of-principal implementation of a single-pixel lidar for 3D imaging. Spatial resolution is obtained through compressive sensing. This technique allows for imaging through partially obscuring objects, such as foliage or camouflage net. Our implementation improves on multipixel designs with better SNR, a compact design, and highly scalable resolution.
  • Keywords
    optical radar; radar resolution; 3D imaging; LIDAR; SNR; compressive sensing; spatial resolution; Compressed sensing; Detectors; Image reconstruction; Imaging; Spatial resolution; Three dimensional displays;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Lasers and Electro-Optics (CLEO), 2011 Conference on
  • Conference_Location
    Baltimore, MD
  • Print_ISBN
    978-1-4577-1223-4
  • Type

    conf

  • Filename
    5950240
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2230434