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Optical Engineering

Infrared image synthesis of desert backgrounds based on semiempirical thermal models
Author(s): Ali Mahmoodi; Abdolreza Nabavi; Mehdi N. Fesharaki
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Paper Abstract

This paper presents an efficient per-pixel technique for synthesizing the IR images of desert backgrounds. The technique is based on semiempirical thermal models using a small database of the statistical features of the model coefficients. It is shown that jointly normal Markov random fields can be used to model these coefficients, if the thermophysical parameters of desert backgrounds are independent normal random Markov fields. A new algorithm is introduced for generating the coefficients with desired covariance matrix and correlation lengths. Simulation and experimental results with the new technique illustrate accuracy comparable to that of the conventional per-pixel approach, while the database reduction is several orders of magnitude.

Paper Details

Date Published: 1 February 2001
PDF: 10 pages
Opt. Eng. 40(2) doi: 10.1117/1.1337037
Published in: Optical Engineering Volume 40, Issue 2
Show Author Affiliations
Ali Mahmoodi, YMA Research & Industrial Complex and Tarbiat-Modarres Univ. (Iran)
Abdolreza Nabavi, Tarbiat-Modarres Univ. (Iran)
Mehdi N. Fesharaki, YMA College (Iran)


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