Prof. Yong-Hoon Kim Profile

Prof. Yong-Hoon Kim

at Gwangju Institute of Science and Technology

SPIE Involvement:

Author

Publications (2)

Proceedings Article | 19 May 2006 Paper

Framework of passive millimeter-wave scene simulation based on material classification

Hyuk Park, Sung-Hyun Kim, Ho-Jin Lee, Yong-Hoon Kim, Jae-Sug Ki, In-Bok Yoon, Jung-Min Lee, Soon-Jun Park

Proceedings Volume 6211, 621109 (2006) https://doi.org/10.1117/12.664013

KEYWORDS: Passive millimeter wave sensors, Sensors, Scene simulation, Extremely high frequency, Image sensors, Scene classification, Environmental sensing, Antennas, Receivers, Imaging systems

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Over the past few decades, passive millimeter-wave (PMMW) sensors have emerged as useful implements in transportation and military applications such as autonomous flight-landing system, smart weapons, night- and all weather vision system. As an efficient way to predict the performance of a PMMW sensor and apply it to system, it is required to test in SoftWare-In-the-Loop (SWIL). The PMMW scene simulation is a key component for implementation of this simulator. However, there is no commercial on-the-shelf available to construct the PMMW scene simulation; only there have been a few studies on this technology. We have studied the PMMW scene simulation method to develop the PMMW sensor SWIL simulator. This paper describes the framework of the PMMW scene simulation and the tentative results. The purpose of the PMMW scene simulation is to generate sensor outputs (or image) from a visible image and environmental conditions. We organize it into four parts; material classification mapping, PMMW environmental setting, PMMW scene forming, and millimeter-wave (MMW) sensorworks. The background and the objects in the scene are classified based on properties related with MMW radiation and reflectivity. The environmental setting part calculates the following PMMW phenomenology; atmospheric propagation and emission including sky temperature, weather conditions, and physical temperature. Then, PMMW raw images are formed with surface geometry. Finally, PMMW sensor outputs are generated from PMMW raw images by applying the sensor characteristics such as an aperture size and noise level. Through the simulation process, PMMW phenomenology and sensor characteristics are simulated on the output scene. We have finished the design of framework of the simulator, and are working on implementation in detail. As a tentative result, the flight observation was simulated in specific conditions. After implementation details, we plan to increase the reliability of the simulation by data collecting using actual PMMW sensors. With the reliable PMMW scene simulator, it will be more efficient to apply the PMMW sensor to various applications.

Proceedings Article | 19 May 2005 Paper

Performace analysis of wavelet based restoration for passive millimeter-wave images

Hyuk Park, Sung-Hyun Kim, Manoj Singh, Jun-Ho Choi, Ho-Jin Lee, Yong-Hoon Kim

Proceedings Volume 5789, (2005) https://doi.org/10.1117/12.602667

KEYWORDS: Wavelets, Microelectromechanical systems, Deconvolution, Radiometry, Passive millimeter wave sensors, Point spread functions, Electronic filtering, Super resolution, Image filtering, Signal to noise ratio

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