Radiometry-based range prediction for mid-and long-wave infrared imaging systems

Turgut, Berk Berkan
The present study is about the mid- and long-wave infrared imaging systems in which radiometry-based range prediction are performed. In this study, radiometry-based de- tection, recognition and identification range prediction equation is derived by using an optical design, optomechanical and optoelectronic structure for particular targets, atmospheric conditions, and backgrounds. Analysis of the atmospheric transmittance value for four different atmospheric conditions at mid- and long-wave is performed in detail with help of MODTRANTM 5 software. Detection, recognition and identifica- tion range for land, sea, and air targets is obtained using Johnson criteria. In view of different target types, the effect of the target area on range is examined. Furthermore, the effect of optical aspects of infrared optical systems -aperture and transmittance- and atmospheric conditions on range prediction performance is examined and dis- cussed for both mid- and long-wave bands in this thesis. This study is designed to provide useful information for forthcoming infrared imaging system designers significantly in their designs targeting infrared search and tracking.


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Citation Formats
B. B. Turgut, “Radiometry-based range prediction for mid-and long-wave infrared imaging systems,” M.S. - Master of Science, Middle East Technical University, 2018.