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Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Vol. 38, Iss. 9 — Mar. 20, 1999
  • pp: 1644–1647

Information Content of the Kernel Matrix for the Phase Function Retrieval Problem

Claudia Sendra and Michael A. Box  »View Author Affiliations


Applied Optics, Vol. 38, Issue 9, pp. 1644-1647 (1999)
http://dx.doi.org/10.1364/AO.38.001644


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Abstract

We investigate the information content of the radiation measurements to be used in the retrieval of the scattering properties of the atmosphere with the perturbation technique that we previously introduced. Applying this technique to different sets of data, we obtained solutions with varying accuracy. An analysis of these solutions shows that selecting linearly independent data in directions corresponding to small values of the scattering angle increases the number of pieces of information. (This result is in accord with conclusions reached by other researchers, based on a variety of criteria.) This information content should be largely independent of the method or methods employed to perform the inversion procedure.

© 1999 Optical Society of America

OCIS Codes
(010.1110) Atmospheric and oceanic optics : Aerosols
(010.1280) Atmospheric and oceanic optics : Atmospheric composition
(280.1100) Remote sensing and sensors : Aerosol detection
(280.1310) Remote sensing and sensors : Atmospheric scattering
(290.3200) Scattering : Inverse scattering
(290.4210) Scattering : Multiple scattering

Citation
Claudia Sendra and Michael A. Box, "Information Content of the Kernel Matrix for the Phase Function Retrieval Problem," Appl. Opt. 38, 1644-1647 (1999)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-38-9-1644


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References

  1. M. A. Box and C. Sendra, “Retrieval of the albedo and phase function from exiting radiances with radiative perturbation theory,” Appl. Opt. 38, 1636–1643 (1999).
  2. S. Twomey, Introduction to the Mathematics of Inversion in Remote Sensing and Indirect Measurements (Elsevier, New York, 1977).
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