• The Journal of Korean Institute of Communications and Information Sciences
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• v.37 no.2C
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• pp.181-187
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• 2012

Millimeter wave (MMW) readily penetrates fabrics, thus it can be used to detect objects concealed under clothing. A passive MMW imaging system can operate as a stand-off type sensor that scans people in both indoors and outdoors. However, because of the diffraction limit and low signal level, the imaging system often suffers from low image quality. Therefore, suitable statistical analysis and computational processing would be required for automatic analysis of the images. In this paper, a real-time concealed object detection is addressed by means of the multi-level segmentation. The histogram of the image is modeled with a Gaussian mixture distribution, and hidden object areas are segmented by a multi-level scheme involving $k$-means, the expectation-maximization algorithm, and a decision rule. The complete algorithm has been implemented in C++ environments on a standard computer for a real-time process. Experimental and simulation results confirm that the implemented system can achieve the real-time detection of concealed objects.

• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.862-864
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• 2003

Thresholding is a popular image segmentation method that converts a gray-level image into a binary image. The selection of optimum threshold has remained a challenge over decades. Many image segmentation techniques are developed using information about image in other space rather than the image space itself. Most of the technique based on histogram analysis information-theoretic approaches. In this paper, the criterion function for finding optimal threshold is developed using an intensity-based classuncertainty (a histogram-based property of an image) and region-homogeneity (an image morphology-based property). The theory of the optimum thresholding method is based on postulates that objects manifest themselves with fuzzy boundaries in any digital image acquired by an imaging device. The performance of the proposed method is illustrated on experimental data obtained by W-band millimeter-wave radiometer image under different noise level.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.21 no.3
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• pp.278-284
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• 2010

In this paper, a millimeter-wave detector using zero-bias schottky diode is designed and fabricated at W-band. It consists of LNA(Low Noise Amplifier) and detector module to improve sensitivity. LNA case with a highly stop-band characteristic is designed to prevent the oscillation by LNA MMIC chip. Diode detector of planar structure is fabricated for the easy connection with LNA module and zero bias Schottky diode is utilized. In practice, the fabricated diode detector have shown the detection voltage of 20~500 mV to the RF input power of -45~-20 dBm. The proposed W-band detector can be applicable to the passive millimeter image system.

• Proceedings of the KSRS Conference
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• 1999.11a
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• pp.122-126
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• 1999

The imaging characteristics of a 2-D interferometric synthetic aperture radiometer, such as an angular resolution, depend largely on the type of an antenna array. In this paper, different array configurations of antenna are studied and compared with each array types to get more high resolution image in spatial. T-, X- and Y- types of antenna array are considered and the performances of each type are analyzed considering spatial resolution. The simulation results of candidate antenna types are presented in this paper. In case of Y-type the coverage area of the visibility function is wide and the angular resolution is high more than the others. X-type array shows the good performance for side lobe level.

• Electronics and Telecommunications Trends
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• v.27 no.6
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• pp.114-123
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• 2012

밀리미터파 및 테라헤르츠파는 미래 과학 기술의 보고로서 초고속 통신, 보안 검색 등 다양한 분야에 응용/연구되고 있으나, 밀리미터파 및 테라헤르츠파 영상 기술은 고출력 반도체 신호원이나 배열형 검출기와 같은 핵심 부품 기술의 부재로 연구개발 초기 단계에 있다. 밀리미터파 대역에서 100GHz 이상은 테라헤르츠파 대역과 겹쳐지는 부분으로 300GHz 대역의 밀리미터파 및 테라헤르츠파가 갖는 특성인 종이, 섬유 등의 비이온화 물질에 대한 투과성과 금속에 대한 높은 반사도를 이용하면 인구의 집중도가 높은 공공 장소에서의 은닉된 흉기나 폭발물 등의 위험물 영상을 비접촉식으로 획득할 수 있으며, 식품의 가공 또는 유통 과정 중에 발생할 수 있는 식품 이물질을 제품의 손상 없이 구별해 낼 수 있다.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.22 no.1
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• pp.130-135
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• 2014

FOD(Foreign Object Debris) has the potential threat to damage aircraft during critical phases of take-off and landing roll with some objects including metal on the runway. FOD can be found anywhere on an airport's air operation areas such as runway, taxiway and apron. It can lead to catastrophic loss of life and airframe, and increased maintenance and operating costs. In this paper, we defined FOD and surveyed its riskiness and necessity of automatic FOD detection system. We compared the requirements of the environment in Korea to the FAA advisory circular. Also we analyzed operation methods of FOD detection systems already installed at some airports. Based on the surveys mentioned above, we propose hybrid type of FOD detection system considering the environment in Korea which uses millimeter wave radar, optical camera and thermal imaging camera to detect FOD efficiently. In management approach, fixed type of the system should be installed for real-time monitoring, and mobile type of the system can be used additionally.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.28 no.8
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• pp.636-645
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• 2017

A scanning radar is exploited widely such as for ground surveillance, disaster rescue, and etc. However, the range resolution is limited by transmitted bandwidth and cross-range resolution is limited by beam width. In this paper, we propose a method for super-resolution radar imaging. If the distribution of reflectivity is sparse, the distribution is called sparse signal. That is, the problem could be formulated as compressive sensing problem. In this paper, 2D super-resolution radar image is generated via reweighted ${\ell}_1-Minimization$. In the simulation results, we compared the images obtained by the proposed method with those of the conventional Orthogonal Matching Pursuit(OMP) and Synthetic Aperture Radar(SAR).