Format

Send to:

Choose Destination
See comment in PubMed Commons below
Appl Opt. 2008 Aug 10;47(23):4186-92.

Determination of the optimal regularization parameters in hyperspectral tomography.

Author information

  • 1Department of Mechanical Engineering, Clemson University, Clemson, South Carolina, 29634-0921, USA. linma@clemson.edu

Abstract

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.

PMID:
18690257
[PubMed]
PubMed Commons home

PubMed Commons

0 comments
How to join PubMed Commons

    Supplemental Content

    Full text links

    Icon for Optical Society of America
    Loading ...
    Write to the Help Desk