• DocumentCode
    2334830
  • Title

    Efficient spectral endmember detection onboard the EO-1 spacecraft

  • Author

    Bornstein, Ben ; Thompson, David R. ; Tran, Daniel ; Bue, Brian ; Chien, Steve ; Castaño, Rebecca

  • Author_Institution
    Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA, USA
  • fYear
    2011
  • fDate
    6-9 June 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Spaceflight and planetary exploration place severe constraints on the available bandwidth for downlinking large hyperspectral images. In addition, communications with spacecraft often occur intermittently, so mission-relevant hyperspectral data must wait for analysis on the ground before it can inform spacecraft activity planning. Onboard endmember detection can help alleviate these problems. It enables novelty detection and target identification for scheduling followup activities such as additional observation by narrow field of view instruments. Additionally, endmember analysis can facilitate data summary for downlink. This work describes a planned experiment of selective downlink by the EO-1 autonomous spacecraft. Here an efficient superpixel endmember detection algorithm keeps to the limited computational constraints of the flight processor. Tests suggest the procedure could enable significant improvements in downlink efficiency.
  • Keywords
    geophysical image processing; object detection; space vehicles; spectral analysis; EO-1 autonomous spacecraft; downlink; flight processor; hyperspectral data analysis; hyperspectral images; planetary exploration; space flight; spacecraft activity planning; spectral endmember detection; Data analysis; Downlink; Hyperspectral imaging; Image segmentation; Software; Space vehicles; End-member Detection; Hyperspectral Unmixing Applications; Spaceflight;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2011 3rd Workshop on
  • Conference_Location
    Lisbon
  • ISSN
    2158-6268
  • Print_ISBN
    978-1-4577-2202-8
  • Type

    conf

  • DOI
    10.1109/WHISPERS.2011.6080886
  • Filename
    6080886