• Journal of Korean Society for Geospatial Information Science
• /
• v.12 no.4 s.31
• /
• pp.61-68
• /
• 2004

In this paper, we suggest an automatic technique to obtain 3-D road information in complex urban areas using road pavement markings. This method is composed of following three main steps. The first step is extracting the pavement markings from aerial images, the second one is matching the same pavement markings in two aerial images, and the last one is obtaining the 3-D coordinates of those using EOP(exterior orientation parameters) of aerial images. Here, we focus on the first and second step because the last step can be performed by using the well hewn collinearity condition equation. We used geometric properties and spatial relationships of the pavement markings to extract the lane line markings on the images and extracted arrow lane markings additionally using template matching. And then, we obtained 3-D coordinates of the road using relational matching for the pavement markings. In order to evaluate the accuracy of extraction, we did a visual inspection and compared the result of this technique with those measured by digital photogrammetric system.

• Journal of Korean Society for Geospatial Information Science
• /
• v.5 no.1 s.9
• /
• pp.71-80
• /
• 1997

This paper suggests a Map Accuracy Standards by analyzing U.S. National Map Accuracy Standards, by considering korean terrain feature and statistical error theory for paper and digital maps on the scale of 1:50,000. Map accuracy standards require horizontal accuracy to be reported as a circular error with 90% confidence level through Linear Error Probable(LEP) theory and Circular Error Probable(CEP) theory. In order to verify the proposed methodology for positioning accuracy testing, several kinds of test point were selected and tested. These test points were extracted at the centers of roads and bridges, the comers of the independent building, the edges of geographical botany, and the tops of mountains. The positioning accuracy assessment was peformed by comparing the positions of test points in digital maps generated three different sources with those acquired by high accurate GPS surveying. The digital maps were produced from aerial photographs and SPOT satellite image using analytical plotter and 1:50,000 paper map.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2012.05a
• /
• pp.587-587
• /
• 2012

현재 대부분 하천관리의 흐름해석에서 주가 되었던 1차원 분석은 하천 단면에 따른 횡적인 수면차, 유속분포를 분석할 수 없다는 단점을 가지고 있으며, 특히 유량 및 유속이 급속도로 늘어나는 홍수시에는 그 오차가 더욱 커질 수 있다. 반면에 2차원 모형의 흐름해석은 사행하천의 흐름 특성과 만곡부에서의 종 횡방향 수면경사 및 양안의 수면차와 합류지점의 횡방향 흐름 등의 영향을 고려할 수 있으며 1차원 해석과는 달리 전 단면에 걸쳐 유속 및 수위 분포를 나타낼 수 있어 실제흐름에 가까운 수리량을 얻을 수 있다. 본 연구를 위해 적용된 해석모형인 SMS는 미국 Brigham Young 대학의 환경모형연구실과 미공병단(USACE)의 수로실험국(WES) 등에서 개발한 프로그램으로서 RMA2, RMA4, SED2D 모형 등으로 구성되어 있다. 각각의 모형은 수리 동역학적 해석, 오염물 이송확산 해석, 유사의 이송 및 퇴적 해석이 가능하며 이 중 RMA2를 이용한 2차원 흐름해석을 통하여 보다 적합한 하천관리에 이용가능하도록 하고자 한다. 연구대상 지역은 제주도 한천 하류부로서 제주도 하천 특성상 평상시 건천의 상태를 이루고 있으나 태풍 및 집중호우시 홍수유출이 발생하여 수위가 급격하게 상승하는 양상을 보인다. 대표적인 예로 태풍 '나리'시 최대 일강우량 420mm로 인한 인근 지역에 0.5 ~ 1.5m의 침수흔적을 보이고 있다. 본 연구에서는 2011년 최고수위를 기록한 태풍 '무이파'를 대상으로 하였으며 대상지역의 Kalesto를 이용한 수위-유속 자료를 이용하여 산출된 유량을 경계조건으로 사용하였고 격자망 형성을 위한 지형 데이터는 지형도 및 측량자료를 이용하여 구축하였다. 사용된 대표적인 매개변수는 하상의 조도계수를 나타내는 Manning의 n값과 유체의 밀도, 속도구배, 구조 등 여러 가지의 유체조건에 따라 변하는 성질인 와점성계수(eddy viscosity)로 요약할 수 있으며 Manning의 n값은 하천설계기준에 따른 하천기본계획의 조도계수를 사용하였고 와점성계수는 적합한 흐름 분포를 결정하기 위해 흐름이 안정될 때까지 변화시켜 해석을 시행하였다. 해석결과 만곡부에서는 급한 흐름을 보이고 있으며 최대하폭 구간에서는 완만한 흐름이 나타나 사행하천의 흐름특성과 횡적인 하천단면에 따른 변화, 하상고 차이로 인한 유속분포를 확인할 수 있으며 이는 보다 유용한 하천관리에 이용가능할 것으로 사료된다.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.12 no.9
• /
• pp.4192-4198
• /
• 2011

Terrestrial LiDAR is a high precision positioning technique to monitor the behavior and change of structures and natural slopes, but it has depended on subjective hand intensive tasks for the classification(surface and vegetation or structure and vegetation) of positioning data. Thus it has a couple of problems including lower reliability of data classification and longer operation hours due to the surface characteristics of various geographical and natural features. In order to solve those problems, the investigator developed a technique of using the NDVI, which is a major index to monitor the changes on the surface(including vegetation), to categorize land covers, combining the results with the terrestrial LiDAR data, and classifying the results according to items. The application results of the developed technique show that the accuracy of convergence was 94% even though there was a problem with partial misclassification of 0.003% along the boundaries between items. The technique took less time for data processing than the old hand intensive task and improved in accuracy, thus increasing its utilization across a range of fields.

• KSCE Journal of Civil and Environmental Engineering Research
• /
• v.26 no.3D
• /
• pp.535-540
• /
• 2006

This paper presented an effective strategy to extract the buildings and to reconstruct 3-D buildings using high-resolution multispectral stereo satellite images. Proposed scheme contained three major steps: building enhancement and segmentation using both BDT (Background Discriminant Transformation) and ISODATA algorithm, conjugate building identification using the object matching with Hausdorff distance and color indexing, and 3-D building reconstruction using photogrammetric techniques. IKONOS multispectral stereo images were used to evaluate the scheme. As a result, the BDT technique was verified as an effective tool for enhancing building areas since BDT suppressed the dominance of background to enhance the building as a non-background. In building recognition, color information itself was not enough to identify the conjugate building pairs since most buildings are composed of similar materials such as concrete. When both Hausdorff distance for edge information and color indexing for color information were combined, most segmented buildings in the stereo images were correctly identified. Finally, 3-D building models were successfully generated using the space intersection by the forward RFM (Rational Function Model).

• Proceedings of the Korea Water Resources Association Conference
• /
• 2022.05a
• /
• pp.113-113
• /
• 2022

기후 변화에 따른 집중호우의 증가로 유례없는 홍수가 발생하기도 한다. 홍수 대비를 위한 수리구조물 설계 및 홍수 예측을 위해서는 기초자료인 유량 자료가 중요하며, 이는 Rating-curve를이용하여 산정하는 것이 일반적이다. 하지만, 이를 기왕의 데이터가 부족한 지역과 적용수위 이상에 대해 적용하는 것에 한계가 있다. 2020년 8월 섬진강에 발생한 홍수는 홍수량의 추정이 어려울 뿐 아니라 기존의 Rating curve를 활용하여 홍수량을 추정하는데 한계가 있다. 섬진강 하천정비기본계획(2021)에 따르면 섬진강 남원(신덕리) 관측소는 100년 빈도 홍수량이 7,470m³/s인 반면, 선형 보간을 통한 Rating curve 외삽 결과 약 23,000m³/s로 많은 차이 나는 것을 확인할 수 있다. 따라서, 본 연구에서는 외삽의 불확실성과 직접 측량에 어려움이 있는 홍수기 유량 추정을 위해 수리학적 해석 방법을 이용한 간접유량 산정기법을 제시하였다. 수치해석모형을 이용하여 홍수사상을 재현하고, 이를 역으로 이용하여 관측 수위와 근접한 계산 결과를 보인 입력 자료로부터 대상 지역의 유량을 간접적으로 산정하였다. 상류단 유량자료의 생성을 위하여 Rating curve의 변수에 대하여 무작위 조합을 생성하였고, K-River(1차원 수리해석 모형)를 이용하여 MCS(Monte Carlo Simulation)를 수행하였다. 계산된 수위와 관측 수위간 수위 재현성 평가(NSE, RSR)를 통해 최적 결과를 나타낸 Rating Curve의 변수들로부터 경계조건의 Rating Curve를 산정하였다. 방법론의 검증을 위해 요천 합류부에 적용하였으며, 그 결과 기존 곡선식의 외삽에 따른 유량 자료의 수위 재현성과 비교하여 개선된 것을 확인하였다. 이를 활용하여 수자원 유량 자료의 신뢰도 개선에 활용이 가능할 것으로 판단된다.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
• /
• v.34 no.1
• /
• pp.43-52
• /
• 2016

Due to the characteristics of microwave signals, Radar satellite image has been used for flood detection without weather and time influence. The more methods of flood detection were developed, the more detection rate of flood area has been increased. Since flood causes a lot of damages, flooded area should be distinguished from non flooded area. Also, the detection of flood area should be accurate. Therefore, not only image resolution but also the filtering process is critical to minimize resolution degradation. Although a resolution of radar images become better as technology develops, there were a limited focused on a highly suitable filtering methods for flood detection. Thus, the purpose of this study is to find out the most appropriate filtering method for flood detection by comparing three filtering methods: Lee filter, Frost filter and NL-means filter. Therefore, to compare the filters to detect floods, each filters are applied to the radar image. Comparison was drawn among filtered images. Then, the flood map, results of filtered images are compared in that order. As a result, Frost and NL-means filter are more effective in removing the speckle noise compared to Lee filter. In case of Frost filter, resolution degradation occurred severly during removal of the noise. In case of NL-means filter, shadow effect which could be one of the main reasons that causes false detection were not eliminated comparing to other filters. Nevertheless, result of NL-means filter shows the best detection rate because the number of shadow pixels is relatively low in entire image. Kappa coefficient is scored 0.81 for NL-means filtered image and 0.55, 0.64 and 0.74 follows for non filtered image, Lee filtered image and Frost filtered image respectively. Also, in the process of NL-means filter, speckle noise could be removed without resolution degradation. Accordingly, flooded area could be distinguished effectively from other area in NL-means filtered image.

• Journal of Korean Society of Forest Science
• /
• v.90 no.3
• /
• pp.398-412
• /
• 2001

The purpose of this study is to examine the roles of the forest-land registry system in the Forest Law of 1908 and the effects this system had on the colonial forest-land policy used in Korea under the influence of Japanese Imperialism. This was started under the Profit-sharing Forest System which was one of the policies for disposing of the Korean national forests. The purpose of this system was to establish forest-land ownership, a fundamental human right. This system was enforced by the Japanese Colonial Government without regard to the customary and important right of Koreans to use the forests, and without considering the distinction between national and private forests. Koreans understood that this system was a warning sign of a tax being imposing on forest-land owners. Furthermore, Koreans thought the Japanese were using this system to deprive them of their forest-land. The strata of Koreans reporting ownership were very limited and included the intellectual(upper-middle) class, higher officials in counties and townships, relatives and relations of these officials, and survey agents. In particular the actual owners could not submit a report registering their land in this system because the required survey cost more than the value of the forest-land. Within the time period specified by the Japanese Colonial Government, about 520,000 registries were reported involving 2.2 million Jung-bo(.9917 hectare) with most of these coming during the last five months of reporting period. Koreans made a reasonable request to extend the deadline, but it was refused. After the reporting period expired there were no follow-up measures such as verification of the reported registrations nor establishment of boundaries between national and private forests. According to Article 19 in the Forest Law of 1908 about 14 million Jung-bo, which was not registered within the reporting period was nationalized. The colonial forest-land policy used in Korea by the Japanese Colonial Government was as follows : (1) to create a large number of national forests in the early period of their rule, (2) to divide these national forests into indispensible national forests and dispensible national forests, and (3) to transfer ownership of the dispensible national forests to colonial Japanese. To achieve the latter, the occupational government needed a method to insure ownership. They devised a tree-planting scheme in which the national forests classified as disposable were "loaned" and then transferred to these Japanese. The actual Korean owners claimed title to this forest-land and asked for the eviction of the new owners but the Japanese occupation government rejected these suits using the excuse that previous Korean owners did not submit the required registration report within the specified time period. In short the Principle of Forest-land Registry was used as a means to consolidate the forest-lands of Korea and distribute large portions of it to Japanese citizens after seizing it from the rightful Korean owners.

• Korean Journal of Construction Engineering and Management
• /
• v.21 no.6
• /
• pp.75-83
• /
• 2020

This study intends to explore the scope of the recognized equity capital of developer in real estate project finance loan screening. The factors which can be recognized as equity capital are categorized into 24 factors with 3 upper categories and 6 mid categories. In order to develop the importance weight of factors, AHP and Fuzzy methodologies are implemented based on survey analysis by experts in financial institutions. Research findings indicate that the land cost, evacuation cost, and real estate acquisition tax as land-related direct costs, and the design cost, traffic impact assessment cost, underground safety impact assessment cost, boundary surveying cost, and geological survey cost as the construction permit-related costs are higher than any others. On the other hand, the supplementary costs related to the operation of the developer show very low importance weight. Accordingly, the hierarchy of factors for equity capital should be clearly developed in order to minimize any dispute and prevent non-performing loans to real estate project finance.

• Journal of the Korean Association of Geographic Information Studies
• /
• v.15 no.4
• /
• pp.1-14
• /
• 2012

A river is defined as the watercourse flowing through its channel, and the mapping tasks of a river plays an important role for the research on the topographic changes in the riparian zones and the research on the monitoring of flooding in its floodplain. However, the utilization of the ground surveying technologies is not efficient for the mapping tasks of a river due to the irregular surfaces of the riparian zones and the dynamic changes of water level of a river. Recently, the spatial information data sets are widely used for the coastal mapping tasks due to the acquisition of the topographic information without human accessibility. In this research, we tried to extract a river from the RapidEye imagery by using the ISODATA(Iterative Self_Organizing Data Analysis) classification algorithm with the two different parameters(NIR (Near Infra-Red) band and NDVI(Normalized Difference Vegetation Index)). First, the two different images(the NIR band image and the NDVI image) were generated from the RapidEye imagery. Second, the ISODATA algorithm were applied to each image and each river was generated in each image through the post-processing steps. River boundaries were also extracted from each classified image using the Sobel edge detection algorithm. Ground truths determined by the experienced expert are used for the assessment of the accuracy of an each generated river. Statistical results show that the extracted river using the NIR band has higher accuracies than the extracted river using the NDVI.