Determination of the optimal regularization parameters in hyperspectral tomography
Applied Optics, Vol. 47, Issue 23, pp. 4186-4192 doi:10.1364/AO.47.004186
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- 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
Image Processing
Citation
Lin Ma and Weiwei Cai, "Determination of the optimal regularization parameters in hyperspectral tomography," Appl. Opt. 47, 4186-4192 (2008)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-47-23-4186
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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
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History
Original Manuscript: November 13, 2007
Manuscript Accepted: July 12, 2008
Revised Manuscript: July 1, 2008
Published: August 1, 2008
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Clemson University
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