• Proceedings of the KSRS Conference
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• 2005.10a
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• pp.321-324
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• 2005

In these days, the management and visualization of 3D geo-spatial information is regarded as one of an important issue in GiS and remote sensing fields. 3D GIS is considered with the database issues such as handling and managing of 3D geometry/topology attributes, whereas 3D visualization is basically concerned with 3D computer graphics. This study focused on the design and implementation for the OpenGL API-based rendering system for the complex types of 3D geo-spatial features. In this approach 3D features can be separately processed with the functions of authoring and manipulation of terrain segments, building segments, road segments, and other geo-based things with texture mapping. Using this implementation, it is possible to the generation of an integrated scene with these complex types of 3D features. This integrated rendering system based on the feature-based 3D-GIS model can be extended and effectively applied to urban environment analysis, 3D virtual simulation and fly-by navigation in urban planning. Furthermore, we expect that 3D-GIS visualization application based on OpenGL API can be easily extended into a real-time mobile 3D-GIS system, soon after the release of OpenGLIES which stands for OpenGL for embedded system, though this topic is beyond the scope of this implementation.

• Journal of Korea Spatial Information System Society
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• v.11 no.3
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• pp.50-54
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• 2009

Recently, many researches have been conducted to develop 3D Indoor/Outdoor Spatial Data Models. The 3D data created based on these data models have complex data structures. In order to manage these data efficiently, it is better to use a DBMS. There have been many researches to maintain the 3D data in Geo-DBMS, such that Oosterom (2002) and Arens (2005) developed a method to store 3D Building model, geometric and topological data of coverage in DBMSa. In this study, we propose a method to store the CityGML data into the RDBMS, Oracle Spatial 11g.

• International conference on construction engineering and project management
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• 2009.05a
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• pp.1396-1403
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• 2009

The Ministry of Construction and Transportation (MOCT) has been constructing a nationwide soil information DB since 2000, as basic data for the construction of 'underground geographical information,' a project under the 2nd National Geo-spatial Information System (NGIS) master plan. The inputted soil information includes not only underground conditions such as the layer depth, type, color, and groundwater level, but also engineering information that can be applied to construction work design, such as on the standard penetration test and the compression test. It is difficult to use this information in soil analysis and design, however, because only the test results are currently available. A web-based geo-spatial information system was developed in this study to facilitate the effective application of the soil information database (DB). First, the space information, layer information, and engineering test information were loaded from the soil information DB in real time, and the earth volume, bearing capacity, and settlement were calculated to develop a web client that will evaluate the ground softness and liquefaction. It seems that the soil information DB can be actively applied to the planning and design of construction works using this system.

• Korean Journal of Remote Sensing
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• v.26 no.4
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• pp.451-464
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• 2010

In these days, application cases of national or international standards in the field of geo-spatial information based on information technology are being increased. Especially, demands regarding distribution, dissemination and interoperability of contents using geo-spatial images and these information resources are also on the increasing stage, so that standards as core elements supporting these trends are getting to be emphasized. However, interests on standards of geo-spatial image information processing including remotely sensed images and efforts for development and application of these standards are not enough, domestically. In this study, international standards for geo-spatial image information in ISO and OGC as well as the domestic status were reviewed with the summaries concerned. Comparison with international and domestic standards shows that most national standards were partly modified and translated with international ones, but there are rare cases of application plans or studies concerned in this field. If these situations are continued, industrial stack or applications of technologies regarding standards are getting lesser. Therefore, it is necessary to analyze some problems and to study strategy to overcome them, and the result of this study could be used for the initial works.

• Spatial Information Research
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• v.23 no.6
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• pp.9-17
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• 2015

The convergence industry is a combination of technologies or industries of the same type or various types, thereby maintaining and/or expanding the existing values or creating fresh values. As the industry is drawing greater attention over the world, each country is making huge efforts to provide support for it. GeoSpatial Information is a representative convergence industry characterized by being utilized as a basis for other industrial fields by being linked and fused with other industries and technologies. It is well recognized as being a promising industry that will likely lead the national economy in the future. GeoSpatial Information is necessary to analyze the distinctive features and obstacle factors of the convergence industry. Because it will be able to induce a smooth convergence among different industries. In this paper, we has segmented the support elements through a comparative analysis of the legal system related to (Nano Technology, Information and Communication Technology, Culture Technology, etc)the convergence industry. Based on this proposed policy support for GeoSpatial Information Convergence industry. We expect that this study will be used as basic data of the policy established to effectively support for the GeoSpatial Information convergence industry.

• Journal of Korea Spatial Information System Society
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• v.6 no.2 s.12
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• pp.63-75
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• 2004

This paper proposes a Web Service framework on both wired and wireless network environment that can be interoperable and extensible among geo-spatial servers. Mostly, OGC has studied and announced international standards which are related to web services on various kinds of geo-spatial data. Therefore, the proposed framework satisfies interoperability and extensibility for geo-spatial servers by adapting WMS, WFS, WCS, and WRS standards of OGC and web services standards of W3C. This framework, also, satisfies requirements of huge volumed data service, GML service, geo-spatial function service, and wireless network service. This framework consists of geo-spatial servers group, geo-spatial broker, and web-based client. The geo-spatial servers group includes GIS, SIIS, ITS, GNSS, and Telematics server for the purpose of providing various kinds of geo-spatial services. Especially, this paper proposes main memory based GIS server(MMG server) that can efficiently serve huge volumed GML data on wireless network environment. Finally, experimental results about the MMG server and prototype implementations of the framework show the effectiveness of this study.

• Journal of Korea Spatial Information System Society
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• v.12 no.1
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• pp.18-27
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• 2010

In u-GIS environment, GeoSensor environment requires that dynamic data captured from various sensors and static information in terms of features in 2D or 3D are fused together. GeoSensors, the core of this environment, are distributed over a wide area sporadically, and are collected in any size constantly. As a result, storage space could be exceeded because of restricted memory in DSMS. To solve this kind of problems, a lot of related studies are being researched actively. There are typically 3 different methods - Random Load Shedding, Semantic Load Shedding, and Sampling. Random Load Shedding chooses and deletes data in random. Semantic Load Shedding prioritizes data, then deletes it first which has lower priority. Sampling uses statistical operation, computes sampling rate, and sheds load. However, they are not high accuracy because traditional ones do not consider spatial characteristics. In this paper 'Pre-Filtering based Post Load Shedding' are suggested to improve the accuracy of spatial query and to restrict load shedding in DSMS. This method, at first, limits unnecessarily increased loads in stream queue with 'Pre-Filtering'. And then, it processes 'Post-Load Shedding', considering data and spatial status to guarantee the accuracy of result. The suggested method effectively reduces the number of the performance of load shedding, and improves the accuracy of spatial query.

• Proceedings of the Korea Contents Association Conference
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• 2004.11a
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• pp.251-256
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• 2004

This paper will show examples and methods of spatial relationship operations that extract spatial information from satellite images. Geographical information system phenomena of complex and variant real world can abstract and implement simple features. The abstract features classify geo_objects and geo_field. The geo_object and the geo_field can represent vector and raster respectively. The raster based satellite image can use remote sensing applications. This paper needs topology operations and geometric operations for extracting the remote sensing. The spatial information transforms the raster based image to the vector based object, and extract from the spatial information. The extracted information will contribute on the application of the remote sensing satellite images.

• Spatial Information Research
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• v.22 no.5
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• pp.1-8
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• 2014

Globally, mobile, cloud computing or big data are the recent marketable key terms. These trend technologies or paradigm in the ICT (Information Communication Technology) fields exert large influence on the most application fields including geo-spatial applications. Among them, cloud computing, though the early stage in Korea now, plays a important role as a platform for other trend technologies uses. Especially, mobile cloud, an integrated platform with mobile device and cloud computing can be considered as a good solution to overcome well known limitations of mobile applications and to provide more information processing functionalities to mobile users. This work is a case study to design and implement the mobile application system for geo-spatial image filtering processing operated on mobile cloud platform built using OpenStack and various open sources. Filtering processing is carried out using R environment, recently being recognized as one of big data analysis technologies. This approach is expected to be an element linking geo-spatial information for new service model development and the geo-spatial analysis service development using R.

• Proceedings of the Korea Contents Association Conference
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• 2006.05a
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• pp.71-74
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• 2006

By the progress of Information Technology, spatial data have been recognizes as one of essential infrastructure. Now for the near future needs of urban simulation, management, u-City construction, etc. MOCT(Ministry Of Construction & Transportation) have been driving to construct the 3D Geo-spatial Data as one of National Spatial Data Information on a base of 2D GIS(Geographic Information System). In this study we tried to analysis the demands and the optimum implementation method of 3D Geo-spatial Data in local governments. As the result of study, the plan to utilize 3D Geo-spatial Data and to carry out its utilization, and the advanced vision of 3D GIS in for the public affairs of Local Governments and private business scope were proposed.