Statistical estimation problems of atmospheric correction techniques for thermal infrared imagery have been studied. A revised multiple-view- angle atmospheric correction technique has been developed and tested using the LOWTRAN radiative transfer model as truth. Its average absolute temperature prediction accuracy for an independent data set is 0.8 K for long-wave infrared imagery and 1.0 K for mid -wave infrared imagery, when error-free data are assumed. The benefit of robust, resistant regression estimators was studied using Monte Carlo simulations having real -world measurement errors and data outliers. An error propagation analysis showed that 1.0-3.3 K of rms error is likely given reasonable data set sizes and robust estimators.
Library of Congress Subject Headings
Infrared imaging; Thermography; Remote sensing
Department, Program, or Center
Chester F. Carlson Center for Imaging Science (COS)
Mericsko, Robert J., "Enhancements to atmospheric-correction techniques for multiple thermal images" (1992). Thesis. Rochester Institute of Technology. Accessed from
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