• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2009.06a
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• pp.156-157
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• 2009

최근 경제의 발전과 근무형태의 변화로 인한 여가활동이 점차 증가함에 따라 해안지역에 관광인프라 건설이 늘어나는 추세이다. 본 연구는 동해안 지역의 국제적 성장 가능성과 지역의 자원 개발 잠재력을 토대로 한 광역관광권 개발사업의 일환으로 제안된 울산과 포항사이의 양포항에 복합해양관광휴양단지 구상안에 대한 주변수역의 변화양상을 파악하고자 하였다. 이에 신뢰성 있는 수치도형 구현을 위해 3차원 수치모델을 구축하고 이를 바탕으로 해양관광휴양단지 조성시 발생하는 파동 및 유동장의 변화, 표사 및 해저지형 등의 해양환경변화를 예측하여 구상단계에서 기초자료로 활용하고자 하였다.

• Journal of the Korean Geosynthetics Society
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• v.22 no.2
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• pp.1-12
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• 2023

Research on the causes of landslides and prediction of vulnerable areas is being conducted globally. This study aims to predict the effective soil depth, a critical element in analyzing and forecasting landslide disasters, using topographic information. Topographic data from various institutions were collected and assigned as attribute information to a 100 m × 100 m grid, which was then reduced through data grading. The study predicted effective soil depth for two cases: three depths (shallow, normal, deep) and five depths (very shallow, shallow, normal, deep, very deep). Three classification models, including K-Nearest Neighbor, Random Forest, and Deep Artificial Neural Network, were used, and their performance was evaluated by calculating accuracy, precision, recall, and F1-score. Results showed that the performance was in the high 50% to early 70% range, with the accuracy of the three classification criteria being about 5% higher than the five criteria. Although the grading criteria and classification model's performance presented in this study are still insufficient, the application of the classification model is possible in predicting the effective soil depth. This study suggests the possibility of predicting more reliable values than the current effective soil depth, which assumes a large area uniformly.

• Proceedings of the Korea Contents Association Conference
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• 2004.05a
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• pp.161-168
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• 2004

우리가 살아가는 3차원 이상의 지형공간을 영상으로 구형하기 위하여 필수적으로 요구되는 DEM을 비교적 손쉽게 확보할 수 있는 SPOT 영상을 이용하여 자동으로 생성할 수 있는 방법을 제시하고 에피폴라 투영법에 의한 결과영상의 평가를 통하여 몇 가지 좋은 방법을 제안하고자 한다 현재 보유하고 우리나라 춘천시의 SPOT 위성 팬크로 영상과 수치지도의 DEM영상과의 생성결과를 비교 평가하였다. SPOT2-3호(10m)에서 수집한 중복영상에서 자동으로 수치표고모델을 작성함으로서 다양한 영상정보의 활용이 가능해 따라 입체영상지도제작 및 분석이 가능해지고 있다. 본 연구에서는 SPOT 60km의 춘천지역을 대상으로 한눈에 영상과 영상을 재현할 수 있도록 고해상도의 인공위성 영상자료를 처리하여 영상지도를 제작하기 위한 수치표고모형을 자동으로 추출할 수 있도록 하였다.

• Proceedings of the Korea Water Resources Association Conference
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• 2009.05a
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• pp.718-722
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• 2009

하도 상황이 수역(水域)에서 식생역(植生域)으로 변화하여 최종적으로 육역화(陸域化)단계로의 천이가 진행되는 현상을 하도 육역화라고 한다. 하도 육역화는 하천의 생태환경적 측면에서 많은 문제들을 야기할 수 있으며, 단일 단면 하도의 복단면 고착화로 하천 통수 단면이 감소하여 하도의 홍수 관리 기능에 심각한 위해 요소로 작용할 수 있다. 본 연구는 하도 육역화 방지를 위한 수공구조물로서 말뚝을 설치하고 그 효과를 3차원 수치모형인 FLOW-3D를 이용하여 검토하였다. 수치 모의는 구조물 주변의 복잡한 흐름 모의를 위하여 복잡한 지형지물이 있는 경우에 많이 활용되는 LES(Large Eddy Simulation) 난류 모델을 적용하였으며 세굴 및 퇴적 영향을 알아보기 위하여 유사 세굴(Sediment Scour) 모델을 적용하였다. 하도 육역화 방지 수공구조물의 효과 검토를 위하여 모형 수로의 제방 근처에 말뚝을 설치하고 말뚝직경, 설치 간격 및 배열 등을 변화시켜 구조물 주변의 동수역학적 거동, 흐름분리 효과 및 세굴영향을 수치모의를 통하여 분석하였다. 분석 결과 말뚝에 의한 흐름 분리와 국부 세굴에 의하여 하상 퇴적이 상대적으로 감소되는 효과를 나타냈으며 설치간격이 수변으로부터 말뚝 두께의 2배 그리고 흐름방향으로 말뚝 두께의 2배 이내의 간격으로 설치하여야 더욱 효과적인 것으로 나타났다. 추후 다양한 수리모형 실험을 통한 검증과 다양한 조건에 대한 수치 모의를 통하여 하도 육역화 방지 기술을 개발할 수 있을 것으로 사료된다.

• Journal of Korean Society of Coastal and Ocean Engineers
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• v.22 no.1
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• pp.58-66
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• 2010

In this paper, we have constructed high-resolution topographical map of macro-tidal Malipo beach through integration of terrestrial LiDAR measurement and MBES survey data at inter-tidal zone. To acquire the enough information of inter-tidal zone, we have done terrestrial LiDAR measurement mounted on the roof of vehicle with DGPS through go-stop-scan method at the ebb tide and MBES depth surveying with tide gauge and eye staff measurement for tide correction and MSL calculation at the high tide all together. To integrate two kinds of data, we have unified the vertical coordination standard to Incheon MSL. The mean error of overlapped inter-tidal zone is about 2~6 cm. To verify the accuracy of terrestrial LiDAR, RTK-DGPS measurement have done simultaneously and the difference of Z value RMSE is about 4~7 cm. The resolution of Malipo topographical map is 50 cm and it has constructed to DEM (Digital Elevation Model) based on GIS. Now it has used as an input topography information for the storm-surge inundation prediction models. Also it will be possible to use monitoring of beach process through the long-term periodic measurement and GIS-based 3D spatial analysis calculating the erosion and deposition considering with the artificial beach transition and coastal environmental parameters.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.19 no.4
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• pp.373-383
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• 2001

This study conducted pilot mapping project to know the possibility of mapping with medium resolution satellite imageries. For this purpose, mapping experiments were conducted with each stereo model imageries of SPOT, KOMPSAT, and IRS- lC. And positional accuracy, analysis of detectable and describable features, and comparison with existing digital map were checked, possible mapping scale and cost analysis were conducted with these results. Regarding SPOT imagery, digital photogrammetric workstation was used for stereoplotting. Regarding KOMPSAT and IRS-lC imageries, because there were data format support problems. head-up digitizing was performed with ortho imageries rectified with DEMs generated by image matching. The results of experiments show that such features as wide road, river, coast line, etc are possible to detect and depict but many other features are not for SPOT, KOMPSAT, and IRS-lC imageries. On the aspect of mapping, therefore, SPOT is available for 1/50,000 topographic map revision, KOMPSAT and IRS-lC for 1/25.000 topographic map revision.

• Journal of the HCI Society of Korea
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• v.6 no.1
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• pp.9-16
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• 2011

The previous researches of 3D object modeling have been performed in a limited environment where a target object only exists. However, in order to model an object in the real environment, we need to consider a dynamic environment, which has various objects and a frequently changing background. Therefore, this paper presents a segmentation and tracking method for a foreground which includes a target object in the dynamic environment. By using depth information than color information, the foreground region can be segmented and tracked more robustly. In addition, the foreground region can be tracked on the sequential images by referring depth distributions of the foreground region because both the position and the status in the consecutive images of the foreground region are almost unchanged. Experimental results show that our proposed method can robustly segment and track the foreground region in various conditions of the real environment. Moreover, as an application of the proposed method, it is presented a method for modeling an object extracting the object regions from the foreground region that is segmented and tracked.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.27 no.5
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• pp.619-628
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• 2009

LiDAR has capability of rapid data acquisition and provides useful information for reconstructing surface of the Earth. However, Extracting information from LiDAR data is not easy task because LiDAR data consist of irregularly distributed point clouds of 3D coordinates and lack of semantic and visual information. This thesis proposed methods for automatic extraction of buildings and 3D detail modeling using airborne LiDAR data. As for preprocessing, noise and unnecessary data were removed by iterative surface fitting and then classification of ground and non-ground data was performed by analyzing histogram. Footprints of the buildings were extracted by tracing points on the building boundaries. The refined footprints were obtained by regularization based on the building hypothesis. The accuracy of building footprints were evaluated by comparing with 1:1,000 digital vector maps. The horizontal RMSE was 0.56m for test areas. Finally, a method of 3D modeling of roof superstructure was developed. Statistical and geometric information of the LiDAR data on building roof were analyzed to segment data and to determine roof shape. The superstructures on the roof were modeled by 3D analytical functions that were derived by least square method. The accuracy of the 3D modeling was estimated using simulation data. The RMSEs were 0.91m, 1.43m, 1.85m and 1.97m for flat, sloped, arch and dome shapes, respectively. The methods developed in study show that the automation of 3D building modeling process was effectively performed.

• Journal of Korean Society for Geospatial Information Science
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• v.22 no.4
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• pp.117-125
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• 2014

Korea's first X-band SAR satellite KOMPSAT-5 has been launched in 2013, so the research related to the X-band SAR satellite image is required to increase the utilization of KOMPSAT-5. In this study, we generated a DEM(Digital Elevation Model) using X-band SAR satellite images based on three methods which are InSAR, radargrammetry and RPC(Rational Polynomial Coefficients), and evaluated the performance of each methods. The four stripmap mode TerraSAR-X images taken in Daejeon were used to generate DEM, and accuracy was evaluated using DEM by IKONOS RPC. As results, DEM produced by the InSAR showed the highest accuracy. Also, we knew that RPC could be effective method if you want to create a large area DEM which contains the various elevation.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.28 no.4
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• pp.385-392
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• 2015

Open city information model can increase the understanding of the situation, enable the effective reuse of information due to access the semantic and relational conditions of objects, and support the reliable decision-making through linking with external references. The city information model focused on terrain and buildings was implemented based on the actual data. In addition, a process for flooding simulation was proposed using hydraulic analysis data and the city information model. The deaths and damages were estimated by flooding simulation. The availabilities were examined by detailed queries and responses based on model data of the city information model, hydraulic analysis data and the estimated damages.