Development of a Software for Synthetic IR Image Generation

Chanuk Kyeong, Junyoung Shim, Youngann Woo, Sewon Kim, Wonsik Lee

http://doi.org/10.5626/JOK.2024.51.12.1088

As the importance of seekers, a critical factor in the hit rate of guided missiles, has become more prominent, interest of IR(Infrared) seekers with high object detection performance is increasing. To improve the hit rate of IR seekers, it is essential to acquire IR images in various environments. However, capturing images with real cameras is costly and has difficulty in collecting the images in diverse environments. To address these issues, methods for generating IR images by calculating and analyzing IR signals have been developed. Recently, the demand for the development of domestic IR signal analysis software has been led to prevent the leakage of technology overseas and anlayze IR signals suitable for domestic conditions. In this paper, a domestic synthetic IR image software, which can generate IR images with IR signal analysis algorithm is propsed. The software's IR signal analysis algorithm and the method for generating synthetic IR image are described in detail, and a parallel processing method to increase the speed of synthetic IR image generation is discussed. From the simulation result, the synthetic IR images generated by the proposed software are confirmed.