• Title/Summary/Keyword: Geospatial

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A Study on the Development of Land Suitability Analysis System using GSIS in the Landuse Planning (토지이용계획에 있어 GSIS를 이용한 적지분석시스템 개발에 관한 연구)

  • Lim, Seong-Hyeon;Cho, Gi-Sung
    • Journal of Korean Society for Geospatial Information Science
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    • v.3 no.2 s.6
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    • pp.43-61
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    • 1995
  • The national land use plan that targets the whole national land and all kinds of urban plans that targets a city or a part of city must be performed continuously now and after that. Therefore, the importance of land use plan, that is included in those plans, is very big and crucial. This study scrutinizes the detail zoning land suitability analysis which bases on urban basis plan and the GSIS application plan about allocation, applied various basic theory which is arranged in that course to study area, and try to develop the land use suitability analysis system, a application system The programing language used in system development is the AML of ARC/INFO. On this study, the results divide into four parts. First, we develop the land use suitability analysis system and can simplify and automatize a complicated analysis course and this system will be more useful to the land use suitability analysis. Second, the analysis range is expanded, considering the circumstance environmental factor of planning area outside. So we can implement more comprehensive analysis. Third, we apply a precedency conception and a legal restrictive element that base on urban characteristics and urban space structure theory to this study, develop a computerized method about distributive method, and can allocate the detail zone in the various ways. Finally, the next studies that can clear the detail zone suitability criteria and the correlation of the relationship of materials are essential to improve the accuracy and confidence in this analysis.

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The Analysis of the Possibility for Using Converged Spatial Information(CSI) in National Territorial Planning - The Case Study of LH's Future Business about Land and Housing (융복합 공간정보의 국토계획 분야 활용가능성 분석 - LH 국토·주택관련 미래사업 예시를 중심으로)

  • Choi, Jun Young
    • Spatial Information Research
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    • v.21 no.4
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    • pp.71-81
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    • 2013
  • Due to explosively increasing utilization in spatial information and a rapid development in geospatial technology related to national territorial and housing, there are increasing demands for converging spatial information on not only urban planning and real estate data but also newly generated data from smart phone, GPS to achieve comparative advantage of national territory. In this paper, we prospect the utilization of Converged Spatial Information(CSI) to future national territorial planning for the purpose of enhancing territorial competitiveness. For this purpose, considering the Korea Land and Housing corporation(LH) takes charge most of government's land and housing development projects, CSI usage of this company's 6 future business domains until 2029 were used as a case study. Also, 7 CSIs derived from literature review were surveyed to find the degree of CSI utilization in the national territorial future. In the analysis result, it was found that 3D data and mobile data among others have higher degree of utilization, and urban and regional development is the most highly utilizable domain for CSIs. After all, to revitalize the use of CSI in national territorial future, it is required to do a balanced construction of territorial use spatial information about marine use, coastal use, underground space besides land use.

Geocoding Scheme for Multimedia in Indoor Space Based on IndoorGML (IndoorGML을 활용한 실내공간 멀티미디어 위치 인코딩 방법)

  • Li, Ki Joune
    • Spatial Information Research
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    • v.21 no.4
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    • pp.35-45
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    • 2013
  • Most multimedia contains location information whether they are implicit or explicitly, and which are very useful for several purposes. In particular, we may use location information in defining query conditions to retrieve relevant multimedia. For this reason, a number of works have been done to organize and retrieve geo-referenced multimedia data. However, they mostly focus on outdoor space where position is identified by (x, y, z) coordinates. In this paper, we focus on multimedia in an alternative space, indoor space, which differs from outdoor space in several aspects. First indoor space is considered as symbolic space, where location is identified by a symbolic code such as room number rather than coordinates. Second, topological information is a crucial element in providing indoor spatial information services. Third, indoor space is in more micro-scale than outdoor space, which influences on determining the visibility of cameras. Based on these different characteristics of indoor space, we survey the requirements of management systems of indoor geo-referenced multimedia. Then we propose a geo-coding scheme for multimedia in indoor space as an extension of IndoorGML, an OGC(Open Geospatial Consortium) candidate standard for indoor spatial information. We also present a prototype system called, IngC (INdoor Geo-Coding) developed to store and manage indoor geo-referenced multimedia.

A Comparative Study of Image Classification Method to Detect Water Body Based on UAS (UAS 기반의 수체탐지를 위한 영상분류기법 비교연구)

  • LEE, Geun-Sang;KIM, Seok-Gu;CHOI, Yun-Woong
    • Journal of the Korean Association of Geographic Information Studies
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    • v.18 no.3
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    • pp.113-127
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    • 2015
  • Recently, there has been a growing interest in UAS(Unmanned Aerial System), and it is required to develop techniques to effectively detect water body from the recorded images in order to implement flood monitoring using UAS. This study used a UAS with RGB and NIR+RG bands to achieve images, and applied supervised classification method to evaluate the accuracy of water body detection. Firstly, the result for accuracy in water body image classification by RGB images showed high Kappa coefficients of 0.791 and 0.783 for the artificial neural network and minimum distance method respectively, and the maximum likelihood method showed the lowest, 0.561. Moreover, in the evaluation of accuracy in water body image classification by NIR+RG images, the magalanobis and minimum distance method showed high values of 0.869 and 0.830 respectively, and in the artificial neural network method, it was very low as 0.779. Especially, RGB band revealed errors to classify trees or grasslands of Songsan amusement park as water body, but NIR+RG presented noticeable improvement in this matter. Therefore, it was concluded that images with NIR+RG band, compared those with RGB band, are more effective for detection of water body when the mahalanobis and minimum distance method were applied.

Evaluation on Practical Use of Raw Data for 3D Indoor Space Modeling (3차원 실내공간 모델링 원시자료의 활용도 평가)

  • Kim, Yun Ji;Yoo, Byoung Min;Lee, Jiyeong
    • Spatial Information Research
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    • v.22 no.6
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    • pp.33-43
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    • 2014
  • As the number of people who live indoor space has been increased, the interest in 3D indoor spatial information has been grown. Object-Oriented 3D indoor space modeling including indoor spatial information has performed in level of detail 4, and modeling data is able to be constructed based on various raw data which are as-built drawing, laser scanning, BIM data, and camera. 3D indoor space modeling has been worked based on established indoor space modeling process, and the result can be used for various application fields such as indoor space pedestrian navigation, facility management, disaster management, and so on. However, the modeling process has limitations to perform indoor space modeling efficiently, because the process is complicated and wastes time at modeling work. In this paper, we propose evaluation on practical use of raw data for 3D indoor space modeling purpose on supporting efficient indoor space modeling through analyzing the established process. Therefore, we define the requirements to evaluate the practical use of raw data and propose the verification method. In addition, as-built drawing which has been used in Seoul 3D indoor space modeling project will be applied to proposed method as a raw data.

Spatial-Sensor Observation Service for Spatial Operation of GeoSensor (GeoSensor의 공간연산을 확장한 Spatial-Sensor Observation Service)

  • Lee, Hyuk;Lee, Yeon;Chung, Weon-Il;Bae, Hae-Young
    • Journal of the Korea Society of Computer and Information
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    • v.16 no.11
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    • pp.35-44
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    • 2011
  • Advances in science and technology have made a lot of changes in our life. Especially, sensors have used in various ways to monitor in real time and analyze the world effectively. Traditional sensor networks, however, have used their own protocols and architecture so it had to be paid a lot of additional cost. In the past 8 years, OGC and ISO have been formulating standards and protocols for the geospatial Sensor Web. Although the OGC SWE initiatives have deployed some components, attempts have been made to access sensor data. All spatial operations had to calculate on the client side because traditional SOS architecture did not consider spatial operation for GeoSensor. As a result, clients have to implement and run spatial operations, and it caused a lot of overload on them and decreased approachableness. In this paper we propose S-SOS for in-situ and moving GeoSensor that extends 52 North SOS and provides spatialFilter and spatialFinder operations. The proposed S-SOS provides an architecture that does not need to edit already deployed SOSs and can add spatial operations as occasion. Additionally we explain how to express the spatial queries and to be used effectively for various location based services.

Evaluation of Accuracy and Utilization of the Drone Photogrammetry for Open-pit Mine Monitoring (노천광산 모니터링을 위한 드론 사진측량의 정확도 및 활용성 평가)

  • Park, Joon-Kyu;Um, Dae-Yong
    • Journal of Digital Convergence
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    • v.17 no.12
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    • pp.191-196
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    • 2019
  • The development of open-pit mines leads to large-area topographical changes in highland forests and can lead to severe deterioration of forests, requiring continuous monitoring. The drone photogrammetry is performed at a lower altitude than the existing manned aerial photogrammetry, and thus has a relatively high accuracy. The purpose of this study is to construct spatial information of large open pit mine using drone photogrammetry and to evaluate the accuracy and utilization of the results. The accuracy of the drone photogrammetric results was 0.018 ~ 0.063m in the horizontal direction and 0.027m ~ 0.088m in the vertical direction. These results satisfy the permissible accuracy of 1: 1,000 digital topographic map and it can be used for open mine monitoring. The geospatial information of the open pit mine can be used in various ways, and it can be used to monitor the quantitative change of a specific area for time series change through data management by periodic data acquisition. If drone photogrammetry is applied to open-pit mine monitoring in the future, work time and cost can be greatly reduced compared to the conventional GNSS or total station method, and the work efficiency can be greatly improved because more visible data can be generated.

Fully Automated Generation of Cloud-free Imagery Using Landsat-8 (Landsat-8을 이용한 자동화된 구름 제거 영상 생성)

  • Kim, Byeong Hee;Kim, Yong;Han, You Kyung;Choi, Won Seok;Kim, Yong
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.32 no.2
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    • pp.133-142
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    • 2014
  • Landsat is one of the popular satellites for observing land surface that is used in various areas including monitoring, detecting and classifying changes in land surface. However, shades, which cloud itself and its shadow, interrupted often clear observation and analysis of ground surface. For this reason, the process of removing shades and restoring original ground surfaces are critical for geospatial users. This study is planned to recommend a methodology for more accurate and clear images of Landsat-8 sensor, which provided two additional bands of costal/aerosol and cirrus. In fact, those bands are known as functioned effectively in detecting and restoring shades. Otsu's thresholding technique to detect clouds, we replaced those detective shades by using experimental and reference images. In accurate assessment, the overall accuracy and kappa coefficients were about 85% and 0.7128, respectively. This indicates that the proposed technique is effective for recovering the original land surface.

GPS/INS Integration and Preliminary Test of GPS/MEMS IMU for Real-time Aerial Monitoring System (실시간 공중 자료획득 시스템을 위한 GPS/MEMS IMU 센서 검증 및 GPS/INS 통합 알고리즘)

  • Lee, Won-Jin;Kwon, Jay-Hyoun;Lee, Jong-Ki;Han, Joong-Hee
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.27 no.2
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    • pp.225-234
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    • 2009
  • Real-time Aerial Monitoring System (RAMS) is to perform the rapid mapping in an emergency situation so that the geoinformation such as orthophoto and/or Digital Elevation Model is constructed in near real time. In this system, the GPS/INS plays an very important role in providing the position as well as the attitude information. Therefore, in this study, the performance of an IMU sensor which is supposed to be installed on board the RAMS is evaluated. And the integration algorithm of GPS/INS are tested with simulated dataset to find out which is more appropriate in real time mapping. According to the static and kinematic results, the sensor shows the position error of 3$\sim$4m and 2$\sim$3m, respectively. Also, it was verified that the sensor performs better on the attitude when the magnetic field sensor are used in the Aerospace mode. In the comparison of EKF and UKF, the overall performances shows not much differences in straight as well as in curved trajectory. However, the calculation time in EKF was appeared about 25 times faster than that of UKF, thus EKF seems to be the better selection in RAMS.

Orthophoto and DEM Generation Using Low Specification UAV Images from Different Altitudes (고도가 다른 저사양 UAV 영상을 이용한 정사영상 및 DEM 제작)

  • Lee, Ki Rim;Lee, Won Hee
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.34 no.5
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    • pp.535-544
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    • 2016
  • Even though existing methods for orthophoto production using expensive aircraft are effective in large areas, they are drawbacks when dealing with renew quickly according to geographic features. But, as UAV(Unmanned Aerial Vehicle) technology has advanced rapidly, and also by loading sensors such as GPS and IMU, they are evaluates that these UAV and sensor technology can substitute expensive traditional aerial photogrammetry. Orthophoto production by using UAV has advantages that spatial information of small area can be updated quickly. But in the case of existing researches, images of same altitude are used in orthophoto generation, they are drawbacks about repetition of data and renewal of data. In this study, we targeted about small slope area, and by using low-end UAV, generated orthophoto and DEM(Digital Elevation Model) through different altitudinal images. The RMSE of the check points is σh = 0.023m on a horizontal plane and σv = 0.049m on a vertical plane. This maximum value and mean RMSE are in accordance with the working rule agreement for the aerial photogrammetry of the National Geographic Information Institute(NGII) on a 1/500 scale digital map. This paper suggests that generate orthophoto of high accuracy using a different altitude images. Reducing the repetition of data through images of different altitude and provide the informations about the spatial information quickly.