• Composites Research
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• v.31 no.5
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• pp.246-250
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• 2018

In this paper, laser ultrasonic rotation scanning method was proposed to inspect and visualize defects in corner section of curved composite structure. L-shaped composite specimen with defects in its corner section were inspected using laser ultrasonic rotation scanning method. L-shaped specimens had artificial defects at three different depths to simulate delamination damage. All artificial defects were detected clearly in different time-of-flight according to their depths. Inspection result showed that the proposed method is suitable to inspect round corner section of curved composite structure without any special tools.

• Geophysics and Geophysical Exploration
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• v.20 no.2
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• pp.61-71
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• 2017

Recently, ground-penetrating radar (GPR) surveys have been actively carried out for precise subsurface void investigation because of the rapid increase of subsidence in urban areas. However, since the interpretation of GPR data was conducted based on the interpreter's subjective decision after applying only the basic data processing, it can result in reliability problems. In this research, to solve these problems, we analyzed the difference between the events generated from subsurface voids and those of strong diffraction sources such as the buried pipeline by applying the edge detection technique, which is one of image processing technologies. For the analysis, we applied the image processing technology to the GRP field data containing events generated from the cavity or buried pipeline. As a result, the main events by the subsurface void or diffraction source were effectively separated using the edge detection technique. In addition, since subsurface voids associated with the subsidence has a relatively wide scale, it is recorded as a gentle slope event unlike the event caused by the strong diffraction source recorded with a sharp slope. Therefore, the directional analysis of amplitude variation in the image enabled us to effectively separate the events by the subsurface void from those by the diffraction source. Interpretation based on these kinds of objective analysis can improve the reliability. Moreover, if suggested techniques are verified to various GPR field data sets, these approaches can contribute to semiautomatic interpretation of large amount of GPR data.

• 한국지구물리탐사학회:학술대회논문집
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• 2010.10a
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• pp.55-55
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• 2010

북한 지난 2006년 2009년에 두차례 핵실험을 실시하였다. 이 핵실험은 한국, 일본, 중국에 위치한 지진관측소에 높은 신호대 잡음비를 보이며 관측이 되었다. 북한 핵실험의 지진파형 자료를 분석하여 북한 핵실험 특성 파악을 수행한다. 또한 지역지진파의 전파 경로별 변화 특성을 살펴본다. 한반도의 경우, 동해의 지각구조가 급격하게 변화하므로 동해를 가로지는 경로상에 급격한 지역지진파 변화가 관측된다. 이러한 지역지진파의 경로별 변화로 인해 관측소별 판정에 있어 어려움을 야기한다. 여러 관측소 자료를 종합 분석하는 핵실험 탐지 방법을 제시하며, 이를 북한 핵실험에 적용한다. 과거 구소련과 미국의 핵실험 자료와의 차이점을 살펴보고, 북한 핵실험의 탐지의 효율성을 위해 고려해야 할 사항에 대하여 토론한다. 과거 두 번의 북한 핵실험의 특징인 스펙트럼상의 모서리주파수 부근 에너지 강화 현상이 강하게 관측되며, P파의 상대적 강화 현상이 관측된다. 또한 2010년 천안함 침몰사건에 대하여 지진학적 기법을 활용하여 천암한 침몰 원인에 대하여 추정한다. 침몰 사건시간대에 기록된 지진파형 기록을 수집하여 분석한다. 3개의 관측소 지진파형 자료가 분석에 활용된다. 지진파의 분석을 통해 진앙위치를 추정하며, 지진파형에 드러난 특성을 통해 천암함 침몰과의 연관성을 유추한다. 또한, 지진파 진폭과 주파수 특성을 통해 진원 특성과 침몰 원인등을 추정한다.

• Korean Journal of Remote Sensing
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• v.30 no.2
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• pp.185-205
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• 2014

SAR ground moving target indicator (GMTI) has long been an important issue for SAR advanced applications. As spatial resolution of space-borne SAR system has been significantly improved recently, the GMTI becomes a very useful tool. Various GMTI techniques have been developed particularly using multi-channel SAR systems. It is, however, still problematic to detect ground moving targets within single channel SAR images while it is not practical to access high resolution multi-channel space-borne SAR systems. Once a ground moving target is detected, it is possible to retrieve twodimensional velocities of the target from single channel space-borne SAR with an accuracy of about 5 % if moving faster than 3 m/s. This paper presents a quick-and-dirty method for detecting ground moving targets from single channel SAR single-look complex (SLC) images by differentiation. Since the signal powers of derivatives present Doppler centroid and rate, it is very efficient and effective for detection of non-stationary targets. The derivatives correlate well with velocities retrieved by a precise method with a correlation coefficient $R^2$ of 0.62, which is well enough to detect the ground moving targets. While the approach is theoretically straightforward, it is necessary to remove the effects of residual Doppler rate before finalizing the ground moving target candidates. The confidence level of results largely depends on the efficiency and effectiveness of the residual Doppler rate removal method. Application results using TerraSAR-X and truck-mounted corner reflectors validated the efficiency of the method. While the derivatives of moving targets remain easily detectable, the signal energy of stationary corner reflectors was suppressed by about 18.5 dB. It results in an easy detection of ground targets moving faster than 8.8 km/h. The proposed method is applicable to any high resolution single channel SAR systems including KOMPSAT-5.

• Geophysics and Geophysical Exploration
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• v.24 no.3
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• pp.113-130
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• 2021

Recently, ground-penetrating radar (GPR) surveys have been actively employed to obtain a large amount of data on occurrences such as ground subsidence and road safety. However, considering the cost and time efficiency, more intuitive and accurate interpretation methods are required, as interpreting a whole survey data set is a cost-intensive process. For this purpose, GPR data can be subjected to attribute analysis, which allows quantitative interpretation. Among the seismic attributes that have been widely used in the field of exploration, complex trace analysis and similarity are the most suitable methods for analyzing GPR data. Further, recently proposed attributes such as edge detecting and texture attributes are also effective for GPR data analysis because of the advances in image processing. In this paper, as a reference for research on the attribute analysis of GPR data, we introduce the useful attributes for GPR data and describe their concepts. Further, we present an analysis of the interpretation methods based on the attribute analysis and past cases.