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[해외논문] Spatial Information Platform with VWorld for Improving User Experience in Limited Web Environment 원문보기

Electronics, v.8 no.12, 2019년, pp.1411 -   

Lee, Ahyun (City & Geospatial ICT Research Section, Electronics and Telecommunications Research Institute (ETRI), 218 Gajeong-ro, Yuseong-gu, Daejeon 34129, Korea) ,  Jang, Insung (City & Geospatial ICT Research Section, Electronics and Telecommunications Research Institute (ETRI), 218 Gajeong-ro, Yuseong-gu, Daejeon 34129, Korea)

Abstract AI-Helper 아이콘AI-Helper

VWorld Data Center (VDC), operated by the Ministry of Land, Infrastructure, and Transport of South of Korea, provides the latest high-quality spatial information of South Korea. VWorld data include aerial images, digital elevation models, 3D buildings, 3D bridges, roads, administrative information, ...

참고문헌 (26)

  1. (2019, October 23). VWorld Data Center, operated by the Ministry of Land, Transport and Maritime Affairs of South Korea. Available online: http://data.vworld.kr/data/v4dc_usrmain.do. 

  2. Yu Google Earth as a virtual globe tool for Earth science applications at the global scale: Progress and perspectives Int. J. Remote Sens. 2012 10.1080/01431161.2011.636081 33 3966 

  3. Jang Performance evaluation of CDN method in V-World web service as spatial information open platform service Spat. Inf. Res. 2016 10.1007/s41324-016-0033-y 24 355 

  4. (2019, October 23). VWorld 3D Spatial Information Open Platform Base on WebGL, 2017, Operated by the Ministry of Land, Transport and Maritime Affairs of South Korea. Available online: http://map.vworld.kr/map/wcmaps.do. 

  5. Lee Implementation of an open platform for 3D spatial information based on WebGL ETRI J. 2019 10.4218/etrij.2018-0352 41 277 

  6. (2019, October 23). VWorld 3D Spatial Information Open Platform Base on ActiveX, 2015, Operated by the Ministry of Land, Transport and Maritime Affairs of South Korea. Available online: http://map.vworld.kr/map/maps.do. 

  7. (2019, October 23). WebGL Overview, Khronos WebGL Working Group, 2019. Available online: https://www.khronos.org/webgl. 

  8. Cantor, D., and Jones, B. (2012). WebGL Beginner’s Guide, Packt Publishing Ltd.. [1st ed.]. 

  9. 10.1145/2466533.2466539 Lavoué, G., Chevalier, L., and Dupont, F. (2013, January 20-22). Streaming Compressed 3D Data on the Web using JavaScript and WebGL. Proceedings of the 18th International Conference on 3D Web Technology, San Sebastian, Spain. 

  10. Parisi, T. (2012). WebGL: Up and Running, O’eilly Media, Inc.. [1st ed.]. 

  11. Angel, E., and Shreiner, D. (2014). Interactive Computer Graphics with WebGL, Global Edition, Addison-Wesley Professional. [7th ed.]. 

  12. Zebedin Towards 3D map generation from digital aerial images ISPRS J. Photogramm. Remote Sens. 2006 10.1016/j.isprsjprs.2006.06.005 60 413 

  13. Min A system framework for map air update navigation service ETRI J. 2011 10.4218/etrij.11.1610.0012 33 476 

  14. Wang Fast 3D reconstruction method based on UAV photography ETRI J. 2018 10.4218/etrij.2017-0298 40 788 

  15. Samet The quadtree and related hierarchical data structures ACM Comput. Surv. 1984 10.1145/356924.356930 16 184 

  16. (2019, October 23). Available online: https://cesiumjs.org. 

  17. Agrawal, A., Radhakrishna, M., and Joshi, R.C. (February, January 31). Geometry-based mapping and rendering of vector data over LOD phototextured 3D terrain models. Proceedings of the 14th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, Plzen, Czech Republic. 

  18. Polack, T. (2003). Focus on 3D Terrain Programming, Premier Press. [1st ed.]. 

  19. Tang Modeling and real-time rendering technology of real large area terrain database J. Syst. Simul. 2006 18 453 

  20. Koller, D., Lindstrom, P., Ribarsky, W., Hodges, L.F., Faust, N., and Turner, G. (November, January 29). Virtual GIS: A real-time 3D geographic information system. Proceedings of the 6th IEEE Visualization Conference, Atlanta, NY, USA. 

  21. Abdulla Progressive compression of 3D mesh geometry using sparse approximations from redundant frame dictionaries ETRI J. 2017 10.4218/etrij.17.0116.0509 39 1 

  22. 10.1109/JURSE.2015.7120479 Haala, N., Rothermel, M., and Cavegn, S. (April, January 30). Extracting 3D urban models from oblique aerial images. Proceedings of the 2015 Joint Urban Remote Sensing Event (JURSE), Lausanne, Switzerland. 

  23. Kim Efficient in-memory processing for huge amounts of heterogeneous geo-sensor data Spat. Inf. Res. 2016 10.1007/s41324-016-0029-7 24 313 

  24. Podobnikar Production of integrated digital terrain model from multiple datasets of different quality Int. J. Geogr. Inf. Sci. 2005 10.1080/13658810412331280130 19 69 

  25. Susaki Adaptive slope filtering of airborne LiDAR data in urban areas for digital terrain model (DTM) generation Remote Sens. 2012 10.3390/rs4061804 4 1804 

  26. Woo, M., Neider, J., Davis, T., and Shreiner, D. (1999). OpenGL Programming Guide: The Official Guide to Learning OpenGL, Version 1.2, Addison-Wesley Longman Publishing Co., Inc. 

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