• Journal of the Korea Computer Industry Society
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• v.2 no.3
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• pp.297-308
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• 2001

We propose an algorithm which can reconstruct the 3D information from geographical information. The conventional techniques, the triangular patches and the Random Fractal Midpoint Displacement (RFMD) method, etc., have often been used to reconstruct natural images. While the RFMD method using Gaussian distribution obtains good results for the symmetric images, it is not reliable on asymmetric images immanent in the nature. Our proposed algorithm employs neural networks for the RFMD method to present the asymmetrical images. By using a neural network for reconstructing the 3D images, we can utilize statistical characteristics of irregular data. We show that our algorithm has a better performance than others by the point of view on the similarity evaluation. And, it seems that our method is more efficient for the mountainous topography which is more rough and irregular.

• Spatial Information Research
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• v.19 no.2
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• pp.19-28
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• 2011

Three dimensional modeling for seafloor topography is essential to monitoring displacements in underwater structures as well as all sorts of disasters along the shore. MBES is a system that is capable of high-density water depth measurement for seafloor topography and is in broad uses for gathering 3D data and detecting displacements. MBES data, however, contain random errors that take place in the equipment offset and surveying process and require systematic researches on the correction of wrong depth measurements. Thus this study set out to propose a post-processing technique to eliminate an array of random errors taking place after equipment offset correction and basic noise correction in the MBES system and analyze its applicability to seafloor topography modeling by applying it to the subject area.

• Proceedings of the KSEEG Conference
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• 2002.04a
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• pp.293-297
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• 2002

• Journal of the Korean Geophysical Society
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• v.2 no.3
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• pp.155-168
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• 1999

The paleoseismological importance of the Yangsan fault zone was examined by historical earthquake data, aerial photograph, and trench survey of the area. Occurrences of great earthquakes during the historical time indicate that the Yangsan and/or Ulsan fault have been active during the late Quaternary and generated historical events. Geomorphological evidences of the recent fault activity are clearly shown both in the northern segment (Yugye-ri, Tosung-ri and Naengsu-ri areas) and in the southern segment (Eonyang to Tongdosa areas) of the Yangsan fault. The main Yangsan fault is characterized by fault gouges and NNE-SSW lineaments. The reverse faulting in the Yugye-ri area generated about three-mater displacement of the lower terrace deposits. On the other hand, a major strike-slip movement with a minor component of 5-12 m vertical displacement was identified by the offset of the higher terrace surface in the Eonyang area.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.23 no.2
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• pp.147-156
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• 2005

SAR interferometry (InSAR) is a technique to generate 3-Dimentional spatial information using complex data pairs observed by antennas at different locations. In case of the Two-pass differential SAR inteferometry (DInSAR), the topographic phase signature can be separated from the contribution of surface deformation in the interferometric phase. In this study, InSAR and DInSAR were implemented with ERS- l/2 tandem pair to produce DEM. The accuracy of the Resulting DEMs was analyzed.

• Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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• 2000.10a
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• pp.1-15
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• 2000

Radar 영상은 능동적탐측기로서 밤과 낮의 구분없이 사용할 수 있고 또한 구름의 영향을 받지 않음으로 해서 여러 분야에서 사용되어왔다. 특히 SAR영상을 이용한 위상간섭법 (InSAR: Interferometric SAR)은 1990년대 초 미국의 JPL (Jet Propulsion Laboratory)에서 사용하기 시작하여 현재 원격탐측, 지구과학, 지구물리학, 측량학, 토목, 환경분야등에 다양하게 활용되고 있는 SAR영상을 이용한 최신의 원격탐측 기술이라 하겠다. 본 논문에서는 InSAR 방법을 중심으로 SAR 영상을 이용한 지형복원 방법과 변위관측 방법에 대해서 알아본다.

• Proceedings of the KGS Conference
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• 2003.11a
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• pp.78-82
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• 2003

지형은 지표물질의 변위 혹은 변형, 물질의 화학적 구조가 변함에 따라 변화한다(좌등구 외, 1990). 이러한 지형 프로세스는 물순환계와 밀접한 관계가 있으며, 지표공간을 이루는 대부분의 지형은 지상에 공급된 강우의 유출과정에서 형성된 것이라고 해도 과언이 아니다. 특히 곡저 또는 곡두는 유수의 배출통로인 동시에 유출특성에 기인한 각 종 지형프로세스에 의해서 형성된다(은전 외, 1996). (중략)

• Proceedings of the KGS Conference
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• 2003.05a
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• pp.102-103
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• 2003

지형은 지표물질의 변위 혹은 변형, 물질의 화학적 구조가 변함에 따라 변화한다(좌등구 외, 1990 ). 이러한 지형 프로세스(geomorphological processes)는 물순환계와 밀접한 관계가 있으며, 지표공간을 이루는 대부분의 지형은 지상에 공급된 강우의 유출과정에서 형성된 것이라고 해도 과언이 아니다. 특히 곡저 또는 곡두는 유수의 배출통로인 동시에 유출특성에 기인한 각 종 지형프로세스에 의해서 형성되므로(은전 외, 1996). 사면에서 일어나는 지형 프로세스를 이해하기 위해서는 사면에서의 물의 유출과정에 대한 명확한 규명이 전제가 되어야 한다. (중략)

• Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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• 2004.04a
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• pp.299-302
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• 2004

최근에 상용화되어 있는 영상 중 가장 고해상도인 ikonos 영상은 공간해상도가 높기 때문에 더 많은 지형지물 정보를 포함하고 있다. 그러나 이러한 커다란 장점과 더불어 고층건물이나 높은 표고의 지형에서 발생하는 기복변위 보정이라는 소축척 영상에서 볼 수 없었던 새로운 문제가 등장하였다. 특히, 이러한 고해상도 영상들은 산악지역에서 식생에 대한 세밀한 정보를 제공하지만 상대적으로 높은 고도를 가지고 있기 때문에 발생하는 기복왜곡과 그림자 효과가 자료의 이용에 제한요인으로 작용하게 된다. 본 연구에서는 ikonos 고유의 센서정보와 수치지형도를 통하여 획득한 DEM(수치표고모델)을 이용하여 정밀편위보정방법(Difference rectification method) 방법에 의해 기하보정을 수행하고 그 결과 발생하는 산악지역에서는 기복변위를 분석하였다.

• Korean Journal of Remote Sensing
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• v.27 no.2
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• pp.171-180
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• 2011

MAI (multiple aperture SAR interferometry) method has been recently developed to improve the measurement accuracy of along-track surface deformation. By means of split-beam SAR processing, this novel technique produces forward- and backward-looking interferograms, which are combined to generate an MAI interferogram. The along-track surface deformation can then be derived from the MAI interferogram. The achieved accuracy of the along-track surface deformation is approximately 8 cm for interferograms with a coherence of 0.6. It is commonly recognized that the topographic phase on an MAI interferogram can be ignored. However, in this paper, we have generated an MAI interferogram from an ALOS P ALSAR interferometric pair spanning the 2010 Haiti earthquake, and shown that the topographic phase distortion on the MAI interferogram can reach to about $3.45{\times}10^{-4}$ rad./m. This distortion corresponds to an along-track surface deformation of about 98 cm. We have proposed an efficient method to remove the topographic phase distortion. After correcting the distortion, the topographic phase distortion on the MAI interferogram is reduced to about $7.82{\times}10^{-6}$ rad./m. This means that the proposed method can effectively remove the topographic distortion on the MAI interferogram to improve along-track surface deformation measurement.