Spectral calibration of imaging spectrometers by atmospheric absorption feature matching

A procedure has been developed to measure the band centres 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 that are common to all pixels in the scene. These are principally atmospheric absorption lines. The band-centre 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 the Airborne Visible / Infrared Imaging Spectrometer (AVIRIS), shortwave infrared full spectrum imager (SFSI), Compact Airborne Spectrographic Imager (casi), compact high-resolution imaging spectrometer (CHRIS), 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 and casi are airborne pushbroom instruments, and CHRIS and Hyperion are satellite pushbroom sensors all exhibiting, to varying degrees, spectral smile. Measurements of Hyperion were made using three different datasets to check for temporal variations.

[1]  R. Green,et al.  Spectral calibration requirement for Earth-looking imaging spectrometers in the solar-reflected spectrum. , 1998, Applied optics.

[2]  Marcos J. Montes,et al.  Refinement of wavelength calibrations of hyperspectral imaging data using a spectrum-matching technique , 2004 .

[3]  Robert A. Neville,et al.  Detection of keystone in imaging spectrometer data , 2004, SPIE Defense + Commercial Sensing.

[4]  K. Staenz,et al.  Retrieval of surface reflectance from hyperspectral Data using a look-up table approach , 1997 .

[5]  John Shepanski,et al.  Hyperion, a space-based imaging spectrometer , 2003, IEEE Trans. Geosci. Remote. Sens..

[6]  P. S. Barry,et al.  Hyperion on-orbit validation of spectral calibration using atmospheric lines and an on-board system , 2002, SPIE Optics + Photonics.

[7]  Daniel R. Lobb,et al.  Integration and testing of the compact high-resolution imaging spectrometer (CHRIS) , 1999, Optics & Photonics.

[8]  Robert A. Neville,et al.  Toward scene-based retrieval of spectral response functions for hyperspectral imagers using Fraunhofer features , 2008 .

[9]  D. C. Robertson,et al.  MODTRAN cloud and multiple scattering upgrades with application to AVIRIS , 1998 .

[10]  Jessica A. Faust,et al.  Imaging Spectroscopy and the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) , 1998 .

[11]  Frederic Teston,et al.  The PROBA/CHRIS mission: a low-cost smallsat for hyperspectral multiangle observations of the Earth surface and atmosphere , 2004, IEEE Transactions on Geoscience and Remote Sensing.

[12]  S. Ungar,et al.  Technologies for future Landsat missions , 1997 .

[13]  Robert A. Neville,et al.  SFSI: Canada's First Airborne SWIR Imaging Spectrometer , 1995 .

[14]  L. Guanter,et al.  Spectral calibration of hyperspectral imagery using atmospheric absorption features. , 2006, Applied optics.