- Issue
- Journal of Siberian Federal University. Engineering & Technologies. 2018 11 (3)
- Authors
- Koziratsky, Yuri L.; Smarov, Andrey N.; Koziratsky, Anton A.; Ivantsov, Alexey V.
- Contact information
- Koziratsky, Yuri L.: Military Education and Research Centre of Military-Air Forces «Military-Air Academy Named After Professor N.E. Zhukovsky and Yu.A. Gagarin» 54a Starykh Bol’shevikov Str., Voronezh, 394064, Russia; Smarov, Andrey N.: Military Education and Research Centre of Military-Air Forces «Military-Air Academy Named After Professor N.E. Zhukovsky and Yu.A. Gagarin» 54a Starykh Bol’shevikov Str., Voronezh, 394064, Russia; Koziratsky, Anton A.: Military Education and Research Centre of Military-Air Forces «Military-Air Academy Named After Professor N.E. Zhukovsky and Yu.A. Gagarin» 54a Starykh Bol’shevikov Str., Voronezh, 394064, Russia; Ivantsov, Alexey V.: Military Education and Research Centre of Military-Air Forces «Military-Air Academy Named After Professor N.E. Zhukovsky and Yu.A. Gagarin» 54a Starykh Bol’shevikov Str., Voronezh, 394064, Russia;
- Keywords
- camouflage means; intensity of radiation; recognition
- Abstract
The methodical approach to an estimation of efficiency of the masking means is developed, allowing strictly enough to consider distributions of intensity of radiation on surfaces of object and a spreading surface. By embedding the amplitude distribution of the object radiation along the external surface of camouflaged means in the total distribution of the whole area received compound distribution in a subject plane with the further transfer of the image to a focal plane of sweeping system. It is shown, that at equal values of noise in images of the disguised object and a spreading surface distinction in signal levels in 5-10 % does not render essential influence on likelihood indicators of distinction
- Pages
- 263-272
- Paper at repository of SibFU
- https://elib.sfu-kras.ru/handle/2311/71318
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).