I.N. Ishchuk - Dr. Sc. (Eng.), Associate Professor, Head of Department, Military Educational and Scientific Center «Zhukovsky-Gagarin Air Force Academy» (Voronezh). E-mail: boerby@rambler.ru V.V. Mikhailov - Dr. Sc. (Eng.), Professor, Head of Faculty, Military Educational and Scientific Center «Zhukovsky-Gagarin Air Force Academy» (Voronezh). E-mail: mvv987@pochta.ru A.M. Filimonov - Post-graduate Student, Military Educational and Scientific Center «Zhukovsky-Gagarin Air Force Academy» (Voronezh). E-mail: flyfil87@mail.ru G.Ya. Shaydurov - Dr. Sc. (Eng.), Professor, Deputy Director, Military Engineering Institute, SFU (Krasnoyarsk.) E-mail: shajdurov35@mail.ru

The article presents algorithm for reduction of infrared images from the UAV, allowing to obtain the spatial distribution of the thermophysical parameters of the objects and the surface layer of the earth, reflecting their effective thermal conductivity in the course of daily observations in the infrared wavelength range. The calculated expression, providing a decision about the discovery of the object element to the value of its effective thermal conductivity of the example of the three classes of «plastic», «soil», «metal». Revealing the hidden objects on remote measurement data of thermophysical parameters produces an estimate of the visibility of the object by comparing the integrated values of thermophysical parameters of the object and the background, which practically do not depend on external factors and time of day. However, existing today works of many authors identify hidden object based on signature analysis of the hidden object in a natural heat transfer is not considered. In its turn the use of unmanned aerial vehicle with a posting on its optoelectronic system can improve mobility and increase the area of earthly surface to be monitored in order to find hidden objects in their thermophysical parameters.

 

1. Maldague X. Nondestructive Evaluation of Materials by Infrared Thermography. London: Springer. 1993. 207 p.
2. Swiderski W., Hlosta P., Jarzemski J., Szugajew L. Role of moisture and density of sand for microwave enhancement of thermal detection of buried mines // Proc. SPIE 8357. Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XVII. 2012. 83570 p.
3. Swiderski W., Hlosta P., Miszczak M. IR thermography methods in detection of buried mines // Proc. SPIE 8541. Electro-Optical and Infrared Systems: Technology and Applications IX. 2012. 85410 p.
4. Lamorski K., Pregowski P., Swiderski W., Usowicz B., Walczak R. Comparison of thermal signatures of a mine buried in mineral and organic soils // Proc. SPIE 4394. Detection and Remediation Technologies for Mines and Minelike Targets VI. 2001. 1325 p.
5. Vavilov V. Modelling Thermal NDT Problems // 18th World Conference on Nondestructive Testing. Durban, South Africa. 16−20 April 2012.
6. Pregowski P., Swiderski W., Walczak R., Lamorski K. Buried mine and soil temperature prediction by numerical model // Proc. SPIE 4038. Detection and Remediation Technologies for Mines and Minelike Targets V. 2000. 1392 p.
7. Štarman S.Matz V. Automated System for Crack Detection Using Infrared Thermographic Testing // 17th World Conference on Nondestructive Testing. Shanghai, China. 25−28 Oct 2008.
8. Ishchuk I.N., Parfir-ev A.V. The Reconstruction of a Cuboid of Infrared Images to Detect Hidden Objects. Part 1. A Solution Based on the Coefficient Inverse Problem of Heat Conduction // Measurement Techniques. 2014. V. 56. № 10. P. 1162−1166.
9. Ishchuk I.N., Parfir-ev A.V. The Reconstruction of a Cuboid of Infrared Images to Detect Hidden Objects. Part 2. A Method and Apparatus for Remote Measurements of the Thermal Parameters of Isotropic Materials // Measurement Techniques. 2014. V. 57. № 1. P. 74−78.
10. Ishhuk I.N. Algoritm obnaruzhenija skrytykh podpoverkhnostnykh obektov v infrakrasnom diapazone voln na osnove identifikacii ikh teplovykh svojjstv // Radiotekhnika. 2009. № 2 S. 67.