• Title/Summary/Keyword: 3-D Digital Map

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Comparative Analysis of Terrain Slope Using Digital Map, LiDAR Data (수치지형도와 LiDAR 데이터를 이용한 지형경사도 비교분석)

  • Kang, Joon-Mook;Yoon, Hee-Cheon;Min, Kwan-Sik;Rhee, Won-Yong
    • Journal of Korean Society for Geospatial Information Science
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    • v.15 no.4
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    • pp.3-9
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    • 2007
  • Recently, the efforts of systematic understanding and utilization of geographic phenomenon for human life as a important factor among activity of mankind are increasing. It is necessary to express topography connected with space. Especially, the technology of geographic analysis using DEM can supply the information rapidly and accurately about elevation and terrain slope of the subject area under the necessity of high 3D quality geographic information. In this study, creating more precise DEM derived from LiDAR data, quantitative analysis on the subject area about elevation and terrain slope is done under comparison with Digital Topographic map Scale 1:1000. LiDAR data is more detailed than Digital Topographic map to express the elevation of the subject area ($39.89{\sim}77.48m$), and terrain slope by analysis using DEM derived from LiDAR data come out minutely about 90%. It can be concluded that the LiDAR data is very applicable and accurate for 3D topographic terrain slope analysis.

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Analysis of 3D GIS- Based GNSS Visibility at Urban Area (도심에서의 3차원 GIS 기반 위성항법시스템 가시성 분석)

  • Yoo, Kyung-Ho;Kang, Tae-Sam;Sung, Sang-Kyung;Lee, Eun-Sung;Jeong, Seong-Kyun;Sin, Cheon-Sig;Lee, Sang-Uk;Lee, Young-Jae
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.35 no.12
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    • pp.1095-1100
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    • 2007
  • Visibility of the satellite navigation is related to a environmental condition of a receiver. Obstacles like buildings and trees in urban areas can block signals and have effects on accuracy and reliability of positioning. This paper presents a method of creating 3D analysis model of urban canyon of Seoul using three-Dimensional digital map. Analysis techniques of visible satellites with Ray-Polygon Collision Detection and validation of algorithm through field tests are discussed. We have compared and analyzed the visibility of GPS and Galileo with respect to separate and simultaneous tracking in view of DOP (Dilution of Precision) using the 3D GIS digital map.

Terrain Classification Using Three-Dimensional Co-occurrence Features (3차원 Co-occurrence 특징을 이용한 지형분류)

  • Jin Mun-Gwang;Woo Dong-Min;Lee Kyu-Won
    • The Transactions of the Korean Institute of Electrical Engineers D
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    • v.52 no.1
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    • pp.45-50
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    • 2003
  • Texture analysis has been efficiently utilized in the area of terrain classification. In this application features have been obtained in the 2D image domain. This paper suggests 3D co-occurrence texture features by extending the concept of co-occurrence to 3D world. The suggested 3D features are described using co-occurrence histogram of digital elevations at two contiguous position as co-occurrence matrix. The practical construction of co-occurrence matrix limits the number of levels of digital elevation. If the digital elevation is quantized into the number of levels over the whole DEM(Digital Elevation Map), the distinctive features can not be obtained. To resolve the quantization problem, we employ local quantization technique which preserves the variation of elevations. Experiments has been carried out to verify the proposed 3D co-occurrence features, and the addition of the suggested features significantly improves the classification accuracy.

AUTOMATIC 3D BUILDING INFORMATION EXTRACTION FROM A SINGLE QUICKBIRD IMAGE AND DIGITAL MAPS

  • Kim, Hye-Jin;Byun, Young-Gi;Choi, Jae-Wan;Han, You-Kyung;Kim, Yong-Il
    • Proceedings of the KSRS Conference
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    • 2007.10a
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    • pp.238-242
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    • 2007
  • Today's commercial high resolution satellite imagery such as that provided by IKONOS and QuickBird, offers the potential to extract useful spatial information for geographical database construction and GIS applications. Digital maps supply the most generally used GIS data probiding topography, road, and building information. Currently, the building information provided by digital maps is incompletely constructed for GIS applications due to planar position error and warped shape. We focus on extracting of the accurate building information including position, shape, and height to update the building information of the digital maps and GIS database. In this paper, we propose a new method of 3D building information extraction with a single high resolution satellite image and digital map. Co-registration between the QuickBird image and the 1:1,000 digital maps was carried out automatically using the RPC adjustment model and the building layer of the digital map was projected onto the image. The building roof boundaries were detected using the building layer from the digital map based on the satellite azimuth. The building shape could be modified using a snake algorithm. Then we measured the building height and traced the building bottom automatically using triangular vector structure (TVS) hypothesis. In order to evaluate the proposed method, we estimated accuracy of the extracted building information using LiDAR DSM.

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Use of GIS to Archaeology (고고학연구에 있어 GIS 활용)

  • Ahn, Hyoung Ki
    • Korean Journal of Heritage: History & Science
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    • v.43 no.3
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    • pp.180-207
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    • 2010
  • Technological innovations in the 21th Century greatly change the society. The radical advance in computer science brought changes and increased efficiency into society in general. The field of archaeology is also highly influenced and attempts to improve previous manually conducted field survey and research have been actively made. In order to supplement incomplete data set from archaeological excavation, the ways to use computer have been highly explored. GIS is one of them. However, use of GIS has been limited to document locations and to produce distribution map of features using digital map. There are no proper guides to employ GIS for academic research, so that it is hard for beginners to learn how to make use of GIS. In this paper, functions of GIS are introduced even for beginners, including definition of GIS and its archaeological use. It is also explained how to get DEM from digital map to do spatial pattern analysis. Various GIS special pattern analyses using DEM and 3D simulation are presented, as well.

A Selection of Building Registration Method to Construct the Three Dimensional Information Cadastral Map (3차원정보지적도 모형 구축을 위한 건물등록 방법 선정)

  • Yang In Tae;Oh Yi Kyun;Yu Young Geol;Chun Gi Sun
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.22 no.3
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    • pp.245-251
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    • 2004
  • Recently, in a field of cadastre, a computerization of cadastral map is in progress with great growth of GSIS field. Also, the needs fer the integration of land and building information are widely increasing for integral-management and its application of various land related information. Through a revision of cadastral laws to replace the existing 2D-Cadastre with the 3D-Cadastre, a legal basis to register the position of buildings and facilities is prepared in the governmental or civil fields. This paper presented 3D-Cadastre theory that has been studied on Europe and surveyed building position directly with Totalstation at cadastral control point after choosing pilot test area, Also, the most efficient surveying method of registering building in a cadastral map is presented with comparing and analyzing building position after surveying digital orthophoto and digital map. And it is constructed a 3D information cadastral map model that can make the integral management of land, building, connecting land recorders, building management ledgers, building titles, building pictures, and related attribute information.

3D Building Modeling Using LIDAR Data and Digital Map (LIDAR 데이터와 수치지도를 이용한 3차원 건물모델링)

  • Kim, Heung-Sik;Chang, Hwi-Jeong;Cho, Woo-Sug
    • Journal of Korean Society for Geospatial Information Science
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    • v.13 no.3 s.33
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    • pp.25-32
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    • 2005
  • This paper presents a method for point-based 3D building reconstruction using Lidar data and digital map. The proposed method consists of three processes: extraction of building roof points, identification of roof types, and 3D building reconstruction. After extracting points inside the polygon of building, the ground surface, wall and tree points among the extracted points are removed through the filtering process. The filtered points are then fitted into the flat plane using ODR(Orthogonal Distance Regression) in the first place. If the fitting error is within the predefined threshold, the surface is classified as a flat roof. Otherwise, the surface is fitted and classified into a gable or arch roof through RMSE analysis. Experimental results showed that the proposed method classified successfully three different types of roof and that the fusion of LIDAR data and digital map could be a feasible method of modeling 3D building reconstruction.

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Fast Computation Algorithm of Fresnel Holograms Using Recursive Addition Method (반복 가산 기법을 이용한 Fresnel 홀로그램의 고속 계산 알고리듬)

  • Choi, Hyun-Jun;Seo, Young-Ho;Kim, Dong-Wook
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.33 no.5C
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    • pp.386-394
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    • 2008
  • For digital holographic video system, it is important to generate digital hologram as fast as possible. This paper proposed a fixed-point method and fast generation method that can calculate the Fresnel hologram using operation of whole-coordinate recursive addition. To compute the digital hologram, 3D object is assumed to be a collection of depth-map point generated using a PC. Our algorithm can compute a phase on a hologram by recursive addition with fixed-point format at a high speed. When we operated this algorithm on a personal computer, we could maximally compute digital hologram about 70% faster than conventional method and about 30% faster than of [3]'s method.

Developing and Valuating 3D Building Models Based on Multi Sensor Data (LiDAR, Digital Image and Digital Map) (멀티센서 데이터를 이용한 건물의 3차원 모델링 기법 개발 및 평가)

  • Wie, Gwang-Jae;Kim, Eun-Young;Yun, Hong-Sic;Kang, In-Gu
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.25 no.1
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    • pp.19-30
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    • 2007
  • Modeling 3D buildings is an essential process to revive the real world into a computer. There are two ways to create a 3D building model. The first method is to use the building layer of 1:1000 digital maps based on high density point data gained from airborne laser surveying. The second method is to use LiDAR point data with digital images achieved with LiDAR. In this research we tested one sheet area of 1:1000 digital map with both methods to process a 3D building model. We have developed a process, analyzed quantitatively and evaluated the efficiency, accuracy, and reality. The resulted differed depending on the buildings shape. The first method was effective on simple buildings, and the second method was effective on complicated buildings. Also, we evaluated the accuracy of the produced model. Comparing the 3D building based on LiDAR data and digital image with digital maps, the horizontal accuracy was within ${\pm}50cm$. From the above we derived a conclusion that 3D building modeling is more effective when it is based on LiDAR data and digital maps. Using produced 3D building modeling data, we will be utilized as digital contents in various fields like 3D GIS, U-City, telematics, navigation, virtual reality and games etc.

Building Layer Update of Digital Map using LIDAR Data (LIDAR 자료를 이용한 수치지도 건물레이어 갱신)

  • Kim Seong-Sam;Goo Sin-Hoi;Kim Weon-Seok;Yoo Hwan-Hee
    • Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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    • 2006.04a
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    • pp.411-417
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    • 2006
  • As NGIS project has been implemented in 1995 and effectiveness of spatial information increased, Digital maps serve several purpose in administrative, living, and industrial fields. But, Digital maps have many differences with real world information and difficulties in application of managing urban facilities due to high update cost and long generation period. In this study, We suggest methodology to update a building layer of digital map in urban area as regenerating a building layer by detection of changed buildings in the existing digital map anf extraction using LIDAR data and Aerial images, more easier to acquire data and available to guarantee accuracy. Experimental results are expected to applied for constructing 3D urban model in a broad expensive urban area.

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