Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Numerical study of the time-dependent radiative-transfer inverse problem

Not Accessible

Your library or personal account may give you access

Abstract

A curve-fitting procedure is shown to reduce the effects of random errors in estimations of the albedo of single scattering and the moments of the angular-scattering function from the backscattered radiance after a collimated pulsed illumination of a slab target. Numerical results are presented for the effects of a simulated broadening of the incident pulse in time and of systematic experimental errors on the estimated coefficients.

© 1987 Optical Society of America

Full Article  |  PDF Article
More Like This
Analytical error estimates for the time-dependent radiative-transfer inverse problem

T. Duracz and N. J. McCormick
J. Opt. Soc. Am. A 3(11) 1871-1875 (1986)

Experimental test of a time-dependent inverse radiative transfer algorithm for estimating scattering parameters

R. A. Elliott, T. Duracz, N. J. McCormick, and D. R. Emmons
J. Opt. Soc. Am. A 5(3) 366-373 (1988)

Experimental test of a time-dependent inverse radiative transfer algorithm for estimating scattering parameters: addendum

R. A. Elliott, T. Duracz, N. J. McCormick, and D. J. Bossert
J. Opt. Soc. Am. A 6(4) 603-606 (1989)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Tables (5)

You do not have subscription access to this journal. Article tables are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Equations (45)

You do not have subscription access to this journal. Equations are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.