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Optics Express

Optics Express

  • Editor: Andrew M. Weiner
  • Vol. 21, Iss. 22 — Nov. 4, 2013
  • pp: 25820–25833

Multi sky-view 3D aerosol distribution recovery

Amit Aides, Yoav Y. Schechner, Vadim Holodovsky, Michael J. Garay, and Anthony B. Davis  »View Author Affiliations


Optics Express, Vol. 21, Issue 22, pp. 25820-25833 (2013)
http://dx.doi.org/10.1364/OE.21.025820


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Abstract

Aerosols affect climate, health and aviation. Currently, their retrieval assumes a plane-parallel atmosphere and solely vertical radiative transfer. We propose a principle to estimate the aerosol distribution as it really is: a three dimensional (3D) volume. The principle is a type of tomography. The process involves wide angle integral imaging of the sky on a very large scale. The imaging can use an array of cameras in visible light. We formulate an image formation model based on 3D radiative transfer. Model inversion is done using optimization methods, exploiting a closed-form gradient which we derive for the model-fit cost function. The tomography model is distinct, as the radiation source is unidirectional and uncontrolled, while off-axis scattering dominates the images.

© 2013 OSA

OCIS Codes
(100.3190) Image processing : Inverse problems
(280.1100) Remote sensing and sensors : Aerosol detection
(280.1310) Remote sensing and sensors : Atmospheric scattering
(280.4991) Remote sensing and sensors : Passive remote sensing
(100.3200) Image processing : Inverse scattering

ToC Category:
Remote Sensing

History
Original Manuscript: August 5, 2013
Revised Manuscript: October 10, 2013
Manuscript Accepted: October 10, 2013
Published: October 22, 2013

Virtual Issues
December 3, 2013 Spotlight on Optics

Citation
Amit Aides, Yoav Y. Schechner, Vadim Holodovsky, Michael J. Garay, and Anthony B. Davis, "Multi sky-view 3D aerosol distribution recovery," Opt. Express 21, 25820-25833 (2013)
http://www.opticsinfobase.org/oe/abstract.cfm?URI=oe-21-22-25820


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