• DocumentCode
    2672931
  • Title

    Detection of foliage-obscured vehicle using a multiwavelength polarimetric lidar

  • Author

    Tan, Songxin ; Stoker, Jason ; Greenlee, Susan

  • Author_Institution
    South Dakota State Univ., Brookings
  • fYear
    2007
  • fDate
    23-28 July 2007
  • Firstpage
    2503
  • Lastpage
    2506
  • Abstract
    Foliage obscured man-made targets detection and identification is of great interest to many applications. In this paper, the backscattered laser signals from a multiwavelength polarimetric lidar were used to detect a vehicle hidden inside a vegetated area. The polarimetric reflectance data from the lidar at two separate laser wavelengths at 1064 nm and 532 nm revealed distinct target characteristics from both the vehicle and the vegetation. The results from this case study demonstrated the validity of the proposed lidar detection technique. Furthermore, the results could potentially lead to a lidar detection and identification technique for a wide variety of foliage-obscured man-made targets under various application scenarios.
  • Keywords
    backscatter; object detection; optical radar; radar detection; radar polarimetry; remote sensing by radar; backscattered laser signals; foliage-obscured vehicle detection; lidar detection; man-made target detection; multiwavelength polarimetric lidar; polarimetric reflectance data; target characteristics; target identification; vegetated area; wavelength 1064 nm; wavelength 532 nm; Laser beams; Laser radar; Object detection; Optical scattering; Reflectivity; Remote sensing; Testing; Vegetation mapping; Vehicle detection; Vehicles; cross-polarization ratio; polarimetric lidar; target detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007. IEEE International
  • Conference_Location
    Barcelona
  • Print_ISBN
    978-1-4244-1211-2
  • Electronic_ISBN
    978-1-4244-1212-9
  • Type

    conf

  • DOI
    10.1109/IGARSS.2007.4423352
  • Filename
    4423352