• 한국신재생에너지학회:학술대회논문집
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• 2007.11a
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• pp.501-504
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• 2007

선구조 밀도에 따른 지열류량 분포 특성을 파악하기 위하여 선구조의 빈도 및 연장에 의한 선구조 밀도 분포도를 각각 작성하고, 측정 위치별 지열류량 값과 비교 분석하였다. 두드러진 단층의 발달과 많은 온천이 분포하는 경상분지 남부를 연구 대상지역으로 하였으며, 음영기복도 및 위성영상으로 부터 1km 이상되는 1337개의 선구조를 추출하였고, 빈도및 길이에 따른 선구조 분포 밀도도를 작성하였다. 연구 지역 내 51개의 지열류량 자료를 이용하여 측정위치별 선구조 밀도 값을 획득하고 지열류량 값과의 상관성을 파악하기 위하여 선형회귀 분석을 실시하였다.

• Korean Journal of Remote Sensing
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• v.16 no.1
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• pp.13-24
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• 2000

SAR imagery usually reveals the influence of antenna look-direction on the delineation of geological structures. In this study, the look-direction bias in SAR image is quantitatively analyzed specifically for geological lineament study. Geologic lineaments are estimated using both Landsat TM and JERS-1 SAR images over the study area to quantitatively compare and analyze the look-direction bias in the SAR image. The standard geologic lineaments in the study area are established from lineaments estimated from TM images, field mapping, and fault lines in a published geologic map. The results show that lineaments normal to radar look-direction are extremely well enhanced while those parallel to look-direction are less visible as expected. However, certain lineaments even parallel to radar look-direction can still be detectable in a favorable topographic condition. Compared with TM image, the total number of detected lineaments in each direction in the SAR image increases or decreases ranging from 33% to 159% in length and from 28% to 187% in occurrence. The ratio of lineaments in SAR image to those in TM image with respect to direction can be fitted by a cosine function. The fitted function indicates that geological lineament is more easily detected in SAR image than in TM image within about $\pm$50$^{\circ}$ normal to radar look-direction. And lineaments with limited extension appear to be more sensitive to the look direction bias effect.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2004.03a
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• pp.635-640
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• 2004

절리, 단층, 습곡, 암맥, 파쇄대 및 암상의 경계에 의해 나타나는 지질학적 선구조는 지하의 물성이나 지질구조를 반영한다. 따라서 지구조 운동 분석을 위한 기초 자료로 이용가능하기 때문에 그동안 전문가의 육안 판독이외에 영상에서 선구조를 추출하기 위한 많은 연구가 이루어져왔다. 최근에 이용 가능한 위성영상자료가 증가하고 영상을 지구과학 응용분야에 적용하는 사례가 많아짐에 따라 영상으로부터 선구조를 빠르고 정확하게 추출해야 할 필요성이 높아졌다. 본 연구에서는 위성영상으로부터 선구조를 자동으로 추출하기 위해 구배 방향 프로파일 분석(Gradient Direction Profile Analysis. GDPA) 알고리즘과 Hough 변환 알고리즘을 이용한 프로그램을 개발하였고, 각 알고리즘에 필요한 모든 변수들을 사용자가 직접 입력할 수 있도록 설계하였다. 이 프로그램을 옥천 습곡대의 북동부에 위치한 강원도 정선지역의 Landsat TM 에 적용하여 가능성을 검토에 보았고, 오차 검증 방법을 이용하여 각 알고리즘을 정량적으로 평가하였다.

• Proceedings of the KSRS Conference
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• 2000.04a
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• pp.161-165
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• 2000

지질학적으로 선구조는 지체구조해석을 비롯한 광물자원 및 지하수탐사, 자연재해분석, 지질구조해석등 다양한 분야에서 활용되고 있다. 이러한 선구조를 추출하는 방법은 많은 연구자들에 의해 연구되어 왔다. 최근 컴퓨터의 발달로 선구조를 객관적이고 손쉽게 추출하고자 하는 연구가 진행되었고, 이번 연구는 이처럼 컴퓨터를 이용한 선구조의 자동화된 추출을 목적으로 하였으며, 지형을 잘 나타내주는 수치표고모델을 이용하여 지형적인 특징을 규명될 수 있는 선구조를 추출하였다. 먼저, 수치표고모델에 5도간격으로 만들어진 일정크기의 필터를 적용하여 계곡에서 높은 값을 갖은 영상과 능선에서 높은 값을 갖는 영상을 각각 만들었다. 이 영상에서 threshold를 통해 얻어진 이진영상을 세선화하여 계곡과 산맥을 구해 내었고, 각각의 산맥과 계곡을 이루는 요소들을 직선이라 가정하였을 때의 오차를 구하였다. 이 값이 일정 범위안에 들어가고 일정 길이 이상인 경우에만 선구조로써 선택을 하였다.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2008.06a
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• pp.109-115
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• 2008

본 연구에서는 선구조 추출 방법을 최적화하기 위한 처리과정의 표준화와 처리결과에 대한 정확도 평가를 통해 신뢰성을 확보하였다. 장원도 평창군 하진부리를 시일지역으로 하여 해당지역의 위성영상을 취득한 후 전처리 과정을 거쳐 선구조를 추출하였고, 선구조의 방향성과 밀도에 대한 분석을 실시하였다.

• 한국신재생에너지학회:학술대회논문집
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• 2009.06a
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• pp.608-610
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• 2009

지열 분포에 관련된 지질구조의 특성을 파악하기 위하여 지온경사, 지열류량 자료와 인접한 선구조의 방향성에 대한 상관성 분석을 실시하였다. GIS를 이용하여 지열정보데이터베이스에서 발췌한 209개 지온경사 자료와 218개 지열류량 자료에 대하여 전국 광역단열도로부터 가장 인접한 선구조를 추출하고 10도 간격의 방향별 지온경사 및 지열류량 자료 빈도 및 평균값을 그래프에 도시하였다. 인접 선구조의 방향별 지온경사 평균은 $N30^{\circ}{\sim}40^{\circ}W$, $N10^{\circ}{\sim}20^{\circ}E$ 방향에서 $58.9^{\circ}C/km$, $54.9^{\circ}C/km$로 가장 높았고, 인접 선구조의 방향별 지열류량 평균은 $N80^{\circ}{\sim}90^{\circ}W$, $N50^{\circ}{\sim}60^{\circ}W$ 방향에서 98.71 $mW/m^2$, $98.70mW/m^2$로 가장 높았다. 각 선구조 상의 좌표들을 이용하여 지열류량 분포도에서 지열류량 값을 추출한 결과 $N10^{\circ}W{\sim}N40^{\circ}E$, $N60^{\circ}{\sim}70^{\circ}W$, $N50^{\circ}{\sim}60^{\circ}E$ 방향의 지열류량 높은 것으로 나타났다. 결과적으로 지온경사와 지열류량 자료에 대한 인접 선구조의 방향은 북북동, 북서, 서북서 방향이 우세한 것으로 나타났다. 이는 우리나라 조구조 운동과 관련한 단층, 절리 등의 단열구조의 우세 방향과 잘 일치하는 것으로 해석된다.

• Journal of IKEEE
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• v.3 no.2 s.5
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• pp.178-185
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• 1999

Geological structures such as fault and fracture patterns provide important information about preliminary exploration of mineralized areas and geological characterization. They may be recognized and interpreted from satellite images as line-like features usually referred to as lineaments. A proposed filtering method taking the sums azimuth angle into account is utilized, by which linear edges from low contrast areas where features extend parallel to the sun direction and in mountain shadow can be effectively extracted. Then, generalized Hough transform is applied to extract lineaments which correspond to fault and fracture patterns.

• Korean Journal of Remote Sensing
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• v.12 no.2
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• pp.139-154
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• 1996

In order to evaluate the sensor`s look direction bias in the Landsat TM image and to estimate trends of primary geological lineaments, we have attempted to systematically compare lineaments in TM image, relief shadowed DEM's, and actual lineaments of geologic and topographic map through the Hough transform technique. Hough transform is known to be very effective to estimate the trend of geological lineaments, and help us to obtain the true trends of lineaments. It is often necessary to compensate the preferential enhancements of terrain lineaments in a TM image occurred by to look direction bias, and that can be achieved by utilizing an auxiliary data. In this study, we have successfully adopted the relief shadowed DEM in which the illuminating azimuth angle is perpendicular to look direction of a TM image for assessing true trends of geological lineaments. The results also show that the sum of four relief shadowed DEM's directional components can possibly be used as an alternative. In Euiseong-gun area where Sindong Group and Mayans Group are mainly distributed, geological lineaments trending $N5^{\circ}$~$10^{\circ}$W are dominant, while those of $N55^{\circ}$~$65^{\circ}$ W are major trends in Cheongsong-gun area where Hayang Group, Yucheon Group and Bulguksa Granite are distributed. Using relief shadowed DEM as an auxiliary data, we found the $N55^{\circ}$~$65^{\circ}$ W lineaments which are not cleanly observed in TM image over Euiseong-gun area. Compared with the trend of Gumchon and Gaum strike-slip faults, these lineaments are considered to be an extension of the faults. Therefore these strike-slip faults possibly extend up to Sindong Group in the northwest parts in the study area.

• Geophysics and Geophysical Exploration
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• v.16 no.1
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• pp.36-44
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• 2013

We conducted the airborne magnetic and radiometric survey for the characterization of the black shale related and pyrometamorphic uranium deposits distributed in Geumsan area. For the successful characterization of the uranium deposits, the general geological and structural geological features were investigated based on the lithological and linear feature analysis to individual magnetic and radiometric data as the first step. Lithological analysis from the magnetic reduction to the pole and downward continuation map revealed that prominent positive anomalies caused by black and dark gray slate member were clearly recognized as magnetic sources. These results indicate that magnetic survey, even though it is not a direct method for the detection of uranium, can be a useful tool in uranium detection. By the linear feature analysis based on 2nd vertical derivative and curvature map, two linearments corresponded the gray hornfels and black slate member were extracted and in succession, the additional uranium potential zone was inferred. Final discrimination whether uranium-rich or not was confirmed by radiometric and uranium anomaly map. From these analysis, we finally concluded that uranium deposit originated by pyrometamorphic process was confined near the intrusive area only. On the contrary, it was found that black shale related uranium deposit is distributed and extended through out the entire survey area with south-west to north-east direction. In addition, from the linear feature analysis based on radiometric total anomaly map, the typical discontinuous characteristics were recognized in areas where uranium-contained linearments cross the faults. From the above discussion, we concluded that airborne magnetic and radiometric survey are complementary to each other. So it is preferable to carry out simultaneously for the efficient data processing and fruitful interpretation.

• Korean Journal of Remote Sensing
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• v.34 no.3
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• pp.439-450
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• 2018

The lineament is a linear or curved terrain element to discriminate adjacent geological structures in each other. It has been widely used for analysis of geology, mineral exploration, natural disasters, and earthquake, etc. In the past, the lineament has been extracted using cartographic map or field survey. However, it is possible to extract more efficiently the lineament for a very wide area thanks to development of remote sensing technique. Remotely sensed observation by aircraft, satellite, or digital elevation model (DEM) has been used for visual recognition for manual lineament extraction. Automatic approaches using computer science have been proposed to extract lineament more objectively. In this study, we evaluate the characteristics of lineament which is automatically extracted with respect to difference of spatial resolution of DEM. We utilized two types of DEM: one is Shuttle Radar Topography Mission (SRTM) with spatial resolution of about 90 m (3 arc sec), and the other is the latest world DEM of TerraSAR-X add-on for Global DEM with 12 m spatial resolution. In addition, a global DEM was resampled to produce a DEM with a spatial resolution of 30 m (1 arc sec). The shaded relief map was constructed considering various sun elevation and solar azimuth angle. In order to extract lineament automatically, we used the LINE module in PCI Geomatica software. We found that predominant direction of the extracted lineament is about $N15-25^{\circ}E$ (NNE), regardless of spatial resolution of DEM. However, more fine and detailed lineament were extracted using higher spatial resolution of DEM. The result shows that the lineament density is proportional to the spatial resolution of DEM. Thus, the DEM with appropriate spatial resolution should be selected according to the purpose of the study.