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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.
Improving Super-Resolution GAN Performance through Discriminator using U-Net Structure and Auxiliary Classifier
Dong Min Cheon, Younghwan Jeong, Wonsik Lee, Sounghyouk Wi, Sangjin Nam
http://doi.org/10.5626/JOK.2021.48.11.1194
In this paper, We propose a new super resolution method using a Generative Adversarial Network(GAN). Several super resolution techniques, including interpolation, CNN(Convolutional Neural Network), and GAN, have been proposed. Among them, GAN is the most preferred because of its good performance in image synthesis. Consequently, there have been many attempts to improve the super resolution quality by changing the network structure and loss function of GAN’s Generator, but the focus of improvement was not focused on the discriminator. The findings of the present study confirmed that the U-Net structure and the auxiliary classifier structure for image rotation, which were presented in other papers, had a positive effect on super-resolution network.
The Design of a Multi-Function Radar Simulator for the Identification of Friend or Foe(IFF) in the Mode-5 Product Improvement Program
Younghwan Jeong, Chansu Kim, Jungin Oh, Wonsik Lee, Sounghyouk Wi
http://doi.org/10.5626/JOK.2020.47.6.622
Identification of Friend or Foe(IFF) is a function of military surveillance system used to identify whether the monitored object is an ally or an enemy, these system are installed in fighters, ships, and interceptors among others. The United States plans to suspend the Mode-4 identification system and apply Mode-5 from July 2020 forward. The transition to Mode-5 is inevitable as it ensures the interoperability of peer identification systems used in the Republic of Korea’s military operations with the US as well as other NATO member states. If the IFF function found in control centers and multi-function radars is changed in regional air defense weapons systems, revalidation of these weapons systems is required to ensure stability and correct function. Therefore, a multi-function radar simulator is vital use in interface verification, unit tests, and integrated tests before evaluation of the new systems can be completed. This paper presents the design of a simulator for mode-5 performance testing and improvement.
Design of a ModelAgent for Efficient Development of Dynamic Models
Inhan Kim, Younghwan Jeong, Won-sik Lee, Soung-Hyouk Wi, Hamin Jeong
http://doi.org/10.5626/JOK.2019.46.3.228
Dynamic models are important elements in the process of developing weapon system simulators based on the Defense Modeling and Simulation(DM&S). Also, the model’s accuracy according to the purpose of the DM&S is a very important factor, therefore the modules of the dynamic models should be modified to satisfy required model’s fidelity. The objective of this study is to design a structure of ModelAgent that can efficiently develop and manage the dynamic models. The ModelAgent is designed not only to improve reuse by encapsulating modules using object oriented language but also to be scalable to accommodate a variety of requirements by applying design patterns. Also, the ModelAgent is designed to provide a common interface that enhances portability in the development of dynamic models.
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