• DocumentCode
    3222227
  • Title

    Onboard processor for compressing HSI data

  • Author

    Cook, Sid ; Harsanyi, Joseph

  • Author_Institution
    Lockheed Martin Space Syst., Denver, CO, USA
  • fYear
    2002
  • fDate
    16-17 Oct. 2002
  • Firstpage
    200
  • Lastpage
    204
  • Abstract
    As HSI (hyperspectral imaging) sensor technology continues to mature, the ever-increasing amounts of sensor data generated will result in a need for more cost effective communication and data handling systems. Lockheed Martin, with considerable experience in spacecraft design and in developing special purpose onboard processors, has teamed with Applied Signal & Image Technology (ASIT), which has extensive heritage in HSI, to develop a real-time and intelligent onboard processing (OBP) system to reduce HSI sensor downlink requirements. Our goal is to reduce the downlink requirement by a factor >100, while retaining the necessary spectral fidelity of the sensor data needed to satisfy the many science, military, and intelligence goals of these systems. Our spectral compression technique leverages commercial-off-the-shelf (COTS) spectral exploitation algorithms for segmentation, material identification and spectral compression that ASIT has developed. Other commercially available COTS software for spatial compression will also be employed as part of the overall compression processing sequence.
  • Keywords
    data compression; field programmable gate arrays; image segmentation; remote sensing; FPGA; HSI data compression; communication systems; data handling systems; hyperspectral imaging; intelligence goals; material identification; military goals; science goals; segmentation; spacecraft onboard processor; spatial compression; spectral compression; spectral exploitation algorithms; spectral fidelity; Communication effectiveness; Costs; Data handling; Downlink; Hyperspectral imaging; Hyperspectral sensors; Image sensors; Intelligent sensors; Sensor systems; Space technology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Applied Imagery Pattern Recognition Workshop, 2002. Proceedings. 31st
  • Print_ISBN
    0-7695-1863-X
  • Type

    conf

  • DOI
    10.1109/AIPR.2002.1182277
  • Filename
    1182277