OSA's Digital Library

Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Editor: James C. Wyant
  • Vol. 45, Iss. 10 — Apr. 1, 2006
  • pp: 2360–2370

Spectral calibration of hyperspectral imagery using atmospheric absorption features

Luis Guanter, Rudolf Richter, and José Moreno  »View Author Affiliations


Applied Optics, Vol. 45, Issue 10, pp. 2360-2370 (2006)
http://dx.doi.org/10.1364/AO.45.002360


View Full Text Article

Enhanced HTML    Acrobat PDF (1170 KB)





Browse Journals / Lookup Meetings

Browse by Journal and Year


   


Lookup Conference Papers

Close Browse Journals / Lookup Meetings

Article Tools

Share
Citations

Abstract

One of the initial steps in the preprocessing of remote sensing data is the atmospheric correction of the at-sensor radiance images, i.e., radiances recorded at the sensor aperture. Apart from the accuracy in the estimation of the concentrations of the main atmospheric species, the retrieved surface reflectance is also influenced by the spectral calibration of the sensor, especially in those wavelengths mostly affected by gaseous absorptions. In particular, errors in the surface reflectance appear when a systematic shift in the nominal channel positions occurs. A method to assess the spectral calibration of hyperspectral imaging spectrometers from the acquired imagery is presented in this paper. The fundamental basis of the method is the calculation of the value of the spectral shift that minimizes the error in the estimates of surface reflectance. This is performed by an optimization procedure that minimizes the deviation between a surface reflectance spectrum and a smoothed one resulting from the application of a low-pass filter. A sensitivity analysis was performed using synthetic data generated with the modtran4 radiative transfer code for several values of the spectral shift and the water vapor column content. The error detected in the retrieval is less than ± 0.2   nm for spectral shifts smaller than 2   nm , and less than ± 1.0   nm for extreme spectral shifts of 5   nm . A low sensitivity to uncertainties in the estimation of water vapor content was found, which reinforces the robustness of the algorithm. The method was successfully applied to data acquired by different hyperspectral sensors.

© 2006 Optical Society of America

OCIS Codes
(110.0110) Imaging systems : Imaging systems
(120.4640) Instrumentation, measurement, and metrology : Optical instruments
(120.6200) Instrumentation, measurement, and metrology : Spectrometers and spectroscopic instrumentation
(280.0280) Remote sensing and sensors : Remote sensing and sensors

ToC Category:
Remote Sensing

History
Original Manuscript: October 20, 2004
Revised Manuscript: May 23, 2005
Manuscript Accepted: May 24, 2005

Citation
Luis Guanter, Rudolf Richter, and José Moreno, "Spectral calibration of hyperspectral imagery using atmospheric absorption features," Appl. Opt. 45, 2360-2370 (2006)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-45-10-2360


Sort:  Author  |  Year  |  Journal  |  Reset  

References

  1. P. N. Slater, S. F. Biggar, R. G. Holm, R. D. Jackson, Y. Mao, J. M. Palmer and B. Yuan, "Reflectance and radiance-based methods for the in-flight absolute calibration of multispectral sensors," Remote Sens. Environ. 22, 11-37 (1987). [CrossRef]
  2. K. J. Thome, B. G. Crowther, and S. F. Biggar, "Reflectance- and irradiance-based calibration of Landsat-5 Thematic Mapper," Can. J. Remote Sens. 23, 309-317 (1997).
  3. R. Santer, X. F. Gu, G. Guyot, J. L. Deuze, C. Devaux, E. Vermote, and M. Verbrugghe, "SPOT calibration at the La Crau test site (France)," Remote Sens. Environ. 41, 227-237 (1992). [CrossRef]
  4. R. Richter, "On the in-flight absolute calibration of high spatial resolution spaceborne sensors using small ground targets," Int. J. Remote Sens. 18, 2827-2833 (1997). [CrossRef]
  5. R. O. Green, B. E. Pavri, and T. G. Chrien, "On-orbit radiometric and spectral calibration characteristics of EO-1 Hyperion derived with an underflight of AVIRIS and in situ measurements at Salar de Arizaro, Argentina," IEEE Trans. Geosci. Remote Sens. 41, 1194-1203 (2003). [CrossRef]
  6. T. Cocks, R. Jenssen, A. Stewart, I. Wilson, and T. Shields, "The HyMap airborne hyperspectral sensor: the system, calibration and performance," in Proceedings of the First EARSeL Workshop on Imaging Spectroscopy, University of Zurich Remote Sensing Laboratories, ed., (Zurich, Switzerland, 1998), pp. 37-42.
  7. R. Green, M. Eastwood, C. Sarture, T. Chrien, M. Aronsson, B. Chippendale, J. Faust, B. Pavri, C. Chovit, M. Solis, M. Olah, and O. Williams, "Imaging spectroscopy and the airborne visible/infrared imaging spectrometer (AVIRIS)," Remote Sens. Environ. 65, 227-248 (1998). [CrossRef]
  8. P. Gege, D. Beran, W. Mooshuber, J. Schulz, and H. van der Piepen, "System analysis and performance of the new version of the imaging spectrometer ROSIS," in Proceedings of the First EARSeL Workshop on Imaging Spectroscopy, University of Zurich Remote Sensing Laboratories, ed. (Zurich, Switzerland, 1998).
  9. M. J. Barnsley, J. J. Settle, M. Cutter, D. Lobb, and F. Teston, "The PROBA/CHRIS mission: A low-cost smallsat for hyperspectral, multi-angle, observations of the Earth surface and atmosphere," IEEE Trans. Geosci. Remote Sens. 42, 1512-1520 (2004). [CrossRef]
  10. R. Green, "Spectral calibration requirement for Earth-looking imaging spectrometers in the solar-reflected spectrum," Appl. Opt. 37, 683-690 (1998). [CrossRef]
  11. A. F. H. Goetz, B. C. Kindel, M. Ferri, and Z. Qu, "HATCH: results from simulated radiances, AVIRIS, and HYPERION," IEEE Trans. Geosci. Remote Sens. 41, 1215-1221 (2003). [CrossRef]
  12. B.-C. Gao, M. J. Montes, and C. O. Davis, "Refinement of wavelength calibrations of hyperspectral imaging data using a spectrum-matching technique," Remote Sens. Environ. 90, 424-433 (2004). [CrossRef]
  13. P. Mourioulis, R. O. Green, and T. G. Chrien, "Design of pushbroom imaging spectrometers for optimum recovery of spectroscopic and spatial information," Appl. Opt. 39, 2210-2220 (2000). [CrossRef]
  14. Y. J. Kaufman, "The atmospheric effect on the separability of field classes measured from satellites," Remote Sens. Environ. 18, 21-34 (1985). [CrossRef]
  15. D. Schläpfer, C. C. Borel, J. Keller, and K. I. Itten, "Atmospheric precorrected differential absorption technique to retrieve columnar water vapor," Remote Sens. Environ. 65, 353-366 (1998). [CrossRef]
  16. V. Carrère and J. E. Conel, "Recovery of atmospheric water vapor total column abundance from imaging spectrometer analysis and application to airborne visible/infrared imaging spectrometer (AVIRIS) data," Remote Sens. Environ. 44, 179-204 (1993). [CrossRef]
  17. A. Berk, L. Bernstein, G. Anderson, P. Acharya, D. Robertson, J. Chetwynd, and S. Adler-Golden, "modtran cloud and multiple scattering upgrades with application to AVIRIS," Remote Sens. Environ. 65, 367-375 (1998). [CrossRef]
  18. A. Saltelli, S. Tarantola, F. Campolongo, and M. Ratto, Sensitivity Analysis in Practice: a Guide to Assessing Scientific Models (Wiley, 2004).
  19. R. Richter, "Correction of satellite imagery over mountainous terrain," Appl. Opt. 37, 4004-4015 (1998). [CrossRef]
  20. R. Richter and D. Schlaepfer, "Geo-atmospheric processing of airborne imaging spectrometry data. Part 2: Atmospheric/topographic correction," Int. J. Remote Sens. 23, 2631-2649 (2002). [CrossRef]
  21. J. Moreno, "The SPECTRA Barrax Campaign (SPARC): Overview and first results from CHRIS data," in Proceedings of Second CHRIS/PROBA Workshop, ESA/ESRIN, ed. (Frascati, Italy, 2004).

Cited By

Alert me when this paper is cited

OSA is able to provide readers links to articles that cite this paper by participating in CrossRef's Cited-By Linking service. CrossRef includes content from more than 3000 publishers and societies. In addition to listing OSA journal articles that cite this paper, citing articles from other participating publishers will also be listed.


« Previous Article

OSA is a member of CrossRef.

CrossCheck Deposited