• 한국안전학회지
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• 제18권4호
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• pp.98-104
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• 2003

Various nondestructive evaluation (NDE) techniques have been studied to locate steel rebars of dowel, and to detect invisible damage such as voids and cracks inside concrete and debonding between rebars and concrete caused by corrosions and earthquakes. In this study, the aurhors developed 3-dimensional (3D) electromagnetic (EM) imaging technology to detect such damage and to identify exact location of steel rebars of dowel. The authors have developed sub-surface two-dimensional (2D) imaging technique using tomographic antenna array in previous works. In this study, extending the earlier analytical and experimental works on 2D image reconstruction, a 3D microwave imaging system using tomographic antenna array was developed, and multi-frequency technique was applied to improve quality of the reconstructed image and to reduce background noises. This paper presents the analytical expressions of numerical focusing procedures for 3D image reconstruction and numerical simulation to study the resolution of the system and the effectiveness of multi-frequency technique. Also, the design of 4?4 antenna array with switching devices is introduced as a preliminary study for the final design of whole array.

• 전자공학회논문지B
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• 제33B권2호
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• pp.56-64
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• 1996

In the previous paper of this study, an incoherent intensity pattern of a conducting cylinder is obtained by averaging out the multi-frequency intensities of the time-harmonic fields scattered from this cylinder. in this paper, an incoherent imaging of a conducting cylinder is obtained via the back-projection of the incoherent intensity patterns calculated from the circular rotational measurement configuration. This imaging method is vlaidated by imaging a conducting circular and a conducting elliptic cylinder and the measurement conditions to get better image are investigated.

• 한국방재학회 논문집
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• 제5권2호
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• pp.1-8
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• 2005

콘크리트 구조물 내부 결함이나 철근 위치를 탐지하기 위하여 초단파를 이용하는 비파괴 시험방법이 구조물 안전진단 분야에서도 최근 관심을 불러일으키고 있다. 본 연구의 목적은 기 개발된 2차원 영상화 방법을 확장하여 3차원 영상처리방법을 개발하는 것이다. 그 방법으로 콘크리트 구조물 내의 결함을 탐지하기 위한 안테나를 구성, 수치적 초점조절시스템을 이용하여 송신부와 수신부의 초점을 동시 조절하여 구조물 내부의 모든 부분을 검색하였다. 또한 다중주파수 방식을 이용, 데이터의 오류를 제거하고 해상도를 향상시켜 구조물 내부의 결함이나 내부모습을 탐지할 수 있는 3차원 영상장치를 개발하고자 하였다. 실험 결과, 데이터 오류를 줄이는 다중주파수방식에 의하여 재현된 영상의 정확성을 검증하고, 주파수 조절방법에 의하여 $4{\times}4$ 안테나배열을 설계함으로써 5.2 GHz에서 주파수대역의 우수한 투과성능을 입증하였다. 즉 본 연구에서 개발된 슬롯안테나는 파동의 방사기능과 주파수대역의 넓이 등에서 구조부재의 결함탐지에 이용될 수 있음을 검증하였다.

• 대한화학회지
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• 제49권4호
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• pp.370-376
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• 2005

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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• pp.673-675
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• 2003

The image restoration algorithm for microwave imaging radiometer is proposed. A blind deconvolution method was proposed. A point spread function was identified and three deconvolution schemes were employed, Wiener filtering, Lucy- Richardson deconvolution, and Maximum Likelihood blind deconvolution. The experimental data is illustrated with restored image.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제9권12호
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• pp.5103-5115
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• 2015

In radar imaging, a target is usually consisted of a few strong scatterers which are sparsely distributed. In this paper, an improved sparse signal recovery algorithm based on smoothed l₀ (SL0) norm method is proposed to achieve high resolution ISAR imaging with limited pulse numbers. Firstly, one new smoothed function is proposed to approximate the l₀ norm to measure the sparsity. Then a single loop step is used instead of two loop layers in SL0 method which increases the searching density of variable parameter to ensure the recovery accuracy without increasing computation amount, the cost function is undated in every loop for the next loop until the termination is satisfied. Finally, the new set of solution is projected into the feasible set. Simulation results show that the proposed algorithm is superior to the several popular methods both in terms of the reconstruction performance and computation time. Real data ISAR imaging obtained by the proposed algorithm is competitive to several other methods.

• 대한전자공학회논문지
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• 제27권2호
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• pp.16-30
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• 1990

지금까지 마이크로웨이브 영상은 주로 파수영역의 해석에 의해 2차원 푸리에 역변환으로 물체의 영상을 재현하였다. 본 논문에서는 공간영역에서 코히어런트 단층촬영 방법으로 영상을 제한할 수 있는 새로운 식을 유도하고 X-ray 단층촬영에 널리 이용되고 있는 filtered-backprojection 알고리듬을 적용하여 line 및 원통 도체에 대한 영상을 수치계산에 의해 재현하였다. 제시된 공간영역의 해석은 기존의 파수영역의 문제점인 interpolation 및 원점에 대칭인 도체의 영상재현시 나타나는 영상의 artifact을 완전히 해결할 수 있음은 물론, 보다 좋은 영상의 질을 얻을 수 있었다. 또한 파수영역의 해석과는 달리, 모멘트 방법을 적용하여 좁은 주파수 대역폭으로도 초고해상도를 얻을 수 있는 가능성을 line 물체의 영상을 통해 보였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제9권9호
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• pp.3559-3571
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• 2015

This paper addresses the problem of signal acquisition with a sparse representation in a given orthonormal basis using fewer noisy measurements. The authors formulate the problem statement for randomly measuring with strong signal noise. The impact of white Gaussian signals noise on the recovery performance is analyzed to provide a theoretical basis for the reasonable design of the measurement matrix. With the idea that the measurement matrix can be adapted for noise suppression in the adaptive CS system, an adapted selective compressive sensing (ASCS) scheme is proposed whose measurement matrix can be updated according to the noise information fed back by the processing center. In terms of objective recovery quality, failure rate and mean-square error (MSE), a comparison is made with some nonadaptive methods and existing CS measurement approaches. Extensive numerical experiments show that the proposed scheme has better noise suppression performance and improves the support recovery of sparse signal. The proposed scheme should have a great potential and bright prospect of broadband signals such as biological signal measurement and radar signal detection.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제13권2호
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• pp.855-870
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• 2019

In this paper, an adaptive iterative algorithm is proposed for motion deblurring by using the salient intensity prior. Based on the observation that the salient intensity of the clear image is sparse, and the salient intensity of the blurred image is less sparse during the image blurring process. The salient intensity prior is proposed to enforce the sparsity of the distribution of the saliency in the latent image, which guides the blind deblurring in various scenarios. Furthermore, an adaptive iteration strategy is proposed to adjust the number of iterations by evaluating the performance of the latent image and the similarity of the estimated blur kernel. The negative influence of overabundant iterations in each scale is effectively restrained in this way. Experiments on publicly available image deblurring datasets demonstrate that the proposed algorithm achieves state-of-the-art deblurring results with small computational costs.

• Journal of the Korean Society for Industrial and Applied Mathematics
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• 제27권2호
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• pp.109-122
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• 2023

In this study, we consider the application of the bifocusing method (BFM) for identifying the locations and shapes of small anomalies from scattering parameter data when the exact values of background permittivity and conductivity are unknown. To this end, an imaging function using numerical focusing operator is introduced and its mathematical structure is revealed by establishing a relationship with an infinite series of Bessel functions, antenna arrangements, and anomaly properties. On the basis of the revealed structure, we demonstrate why inaccurate location and size of anomalies were retrieved via the BFM. Some simulation results are illustrated using synthetic data polluted by random noise to support the theoretical result.