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Applied Optics

Applied Optics


  • Editor: James C. Wyant
  • Vol. 47, Iss. 23 — Aug. 10, 2008
  • pp: 4186–4192

Determination of the optimal regularization parameters in hyperspectral tomography

Lin Ma and Weiwei Cai  »View Author Affiliations

Applied Optics, Vol. 47, Issue 23, pp. 4186-4192 (2008)

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In a previous paper, we described a novel technique to exploit hyperspectral absorption spectroscopy to retrieve tomographic imaging of temperature and species concentration simultaneously. This technique casts the tomographic inversion into a nonlinear minimization problem with regularizations. Here a simple and effective method is developed to determine the optimal regularization parameters in the nonlinear optimization problem. This method, combined with the minimization method described previously, provides a robust algorithm for hyperspectral tomography. This method takes advantage of an inherent feature of absorption and is therefore expected to be useful for other sensing techniques based on absorption spectroscopy.

© 2008 Optical Society of America

OCIS Codes
(100.6950) Image processing : Tomographic image processing
(280.1740) Remote sensing and sensors : Combustion diagnostics
(280.3420) Remote sensing and sensors : Laser sensors
(300.1030) Spectroscopy : Absorption

ToC Category:
Image Processing

Original Manuscript: November 13, 2007
Revised Manuscript: July 1, 2008
Manuscript Accepted: July 12, 2008
Published: August 1, 2008

Lin Ma and Weiwei Cai, "Determination of the optimal regularization parameters in hyperspectral tomography," Appl. Opt. 47, 4186-4192 (2008)

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