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Proceedings Article

Detection of spectral line curvature in imaging spectrometer data

[+] Author Affiliations
Robert A. Neville

National Resources Canada (Canada)

Lixin Sun

Dendron Resource Surveys Inc. (Canada)

Karl Staenz

Natural Resources Canada (Canada)

Proc. SPIE 5093, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery IX, 144 (September 24, 2003); doi:10.1117/12.487342
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From Conference Volume 5093

  • Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery IX
  • Sylvia S. Shen; Paul E. Lewis
  • Orlando, FL | April 21, 2003

abstract

A procedure has been developed to measure the band-centers and bandwidths for imaging spectrometers using data acquired by the sensor in flight. This is done for each across-track pixel, thus allowing the measurement of the instrument's slit curvature or spectral 'smile'. The procedure uses spectral features present in the at-sensor radiance which are common to all pixels in the scene. These are principally atmospheric absorption lines. The band-center and bandwidth determinations are made by correlating the sensor measured radiance with a modelled radiance, the latter calculated using MODTRAN 4.2. Measurements have been made for a number of instruments including Airborne Visible and Infra-Red Imaging Spectrometer (AVIRIS), SWIR Full Spectrum Imager (SFSI), and Hyperion. The measurements on AVIRIS data were performed as a test of the procedure; since AVIRIS is a whisk-broom scanner it is expected to be free of spectral smile. SFSI is an airborne pushbroom instrument with considerable spectral smile. Hyperion is a satellite pushbroom sensor with a relatively small degree of smile. Measurements of Hyperion were made using three different data sets to check for temporal variations.

© (2003) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.
Citation

Robert A. Neville ; Lixin Sun and Karl Staenz
"Detection of spectral line curvature in imaging spectrometer data", Proc. SPIE 5093, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery IX, 144 (September 24, 2003); doi:10.1117/12.487342; http://dx.doi.org/10.1117/12.487342


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