• DocumentCode
    1922602
  • Title

    Data inversion for hyperspectral objects in astronomy

  • Author

    Rodet, Thomas ; Orieux, F. ; Giovannelli, J.-F. ; Abergel, A.

  • Author_Institution
    Lab. des Signaux et Syst., Supelec, Gif-sur-Yvette, France
  • fYear
    2009
  • fDate
    26-28 Aug. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    We present an original method for reconstruction of hyperspectral objects (two spatial and one spectral dimensions) from data provided by the infrared slit spectrograph on board the Spitzer space telescope. The originality of the work lies in the fact that both measurement model and inversion method are tackled in continuous (spatial and spectral) variables. The method is built in a deterministic regularization framework and enable to achieve both deconvolution and over-resolution. Results show that the method is able to evidence spatial structures not detectable by means of conventional methods. The spatial resolution is shown to be improved by a factor 1.5. We discuss our data processing approach for the new generation of infrared to millimeter space observatories launched in 2009 (Herschel and Planck).
  • Keywords
    astronomical image processing; astronomical telescopes; image reconstruction; infrared spectrometers; spectral analysis; Spitzer space telescope; astronomy; data inversion; data processing approach; deterministic regularization framework; hyperspectral object reconstruction; hyperspectral objects; infrared slit spectrograph; inversion method; measurement model; spatial resolution; Apertures; Astronomy; Diffraction gratings; Extraterrestrial measurements; Hyperspectral imaging; Hyperspectral sensors; Infrared spectra; Optical sensors; Spatial resolution; Telescopes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2009. WHISPERS '09. First Workshop on
  • Conference_Location
    Grenoble
  • Print_ISBN
    978-1-4244-4686-5
  • Electronic_ISBN
    978-1-4244-4687-2
  • Type

    conf

  • DOI
    10.1109/WHISPERS.2009.5289008
  • Filename
    5289008