1 September 2000 Thermal modeling of desert backgrounds in the far-infrared spectral region
Author Affiliations +
Optical Engineering, 39(9), (2000). doi:10.1117/1.1287323
Several thermal models are introduced, based on both a steady-state and a non-steady-state heat balance equation. These are used to predict the surface temperature of dry bare desert background elements. Sensitivity analysis is performed for steady-state models, which indicates that for large measurement error the semiempirical models yield higher accuracy than the physical model. The non-steady-state models take account of variations of the meteorological parameters, and exhibit approximately 47% better performance for rapidly altering weather conditions. Also, the coefficients in these models may be used for a larger period of time to predict the surface temperature. Experimental tests are performed to examine the higher precision of the new models for predicting both the temperature and the thermal image of desert backgrounds. The mean prediction error of the new models is typically more than 25% better. Also, the contrast (variance) of the predicted thermal images is much closer to that of the real images during the daytime.
Ali Mahmoodi, Abdolreza Nabavi, Mehdi N. Fesharaki, "Thermal modeling of desert backgrounds in the far-infrared spectral region," Optical Engineering 39(9), (1 September 2000). http://dx.doi.org/10.1117/1.1287323

Thermal modeling

Data modeling

Atmospheric modeling

Temperature metrology



Performance modeling


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