Application of Photo-realistic Modeling and Visualization Using Digital Image Data in 3D GIS

디지털 영상자료를 이용한 3D GIS의 사실적 모델링 및 가시화

  • Published : 2008.02.29

Abstract

For spatial analysis and decision-making based on territorial and urban information, technologies on 3D GIS with digital image data and photo-realistic 3D image models to visualize 3D modeling are being rapidly developed. Currently, satellite images, aerial images and aerial LiDAR data are mostly used to build 3D models and textures from oblique aerial photographs or terrestrial photographs are used to create 3D image models. However, we are in need of quality 3D image models as current models cannot express topographic and features most elaborately and realistically. Thus, this study analyzed techniques to use aerial photographs, aerial LiDAR, terrestrial photographs and terrestrial LiDAR to create a 3D image model with artificial features and special topographic that emphasize spatial accuracy, delicate depiction and photo-realistic imaging. A 3D image model with spatial accuracy and photographic texture was built to be served via 3D image map services systems on the Internet. As it was necessary to consider intended use and display scale when building 3D image models, in this study, we applied the concept of LoD(Level of Detail) to define 3D image model of buildings in five levels and established the models by following the levels.

국토 및 도시정보의 공간분석과 의사결정을 위하여 디지털 영상자료를 이용한 3D GIS와 구축된 3D 도형정보를 현실적으로 가시화하기 위한 사실적 3D 영상모형(3D photo-realistic model)에 관한 기술이 급속히 발전하고 있다. 현재, 3D 모형 구축을 위하여 위성영상, 항공영상 및 항공라이다 데이터가 주로 이용되고 있으며, 항공경사사진 또는 지상사진에서 취득된 텍스쳐를 이용하여 3D 영상모형을 구축하고 있다. 그러나, 상기 데이터만을 이용하여 구축된 모형은 지형 및 지물을 세밀하고 사실감 있게 표현하는데 제한적이기 때문에 고품질의 영상모형 구축이 필요한 실정이다. 따라서, 본 연구에서는 인공지물과 특수지형을 대상으로 공간정확도, 세밀묘사 및 현실감이 강조된 실세계에 근접한 3D 영상모형을 구축하기 위하여 항공사진, 항공라이다, 지상사진 및 지상라이다 데이터로 실세계를 표현하기 위한 기법을 분석하고, 위치정확도와 함께 사진과 같은 사실감을 확보한 3D 영상모형을 구축하고 인터넷 3D 영상지도 서비스를 통하여 제공할 수 있도록 하였다. 또한, 3D 영상모형은 이용목적 및 디스플레이 축척에 따라 표현요소를 구분하여 구축할 필요가 있으며, 본 연구에서는 LoD(Level of Detail) 개념을 도입하여 건물 3D 영상모형을 5단계로 정의하고 단계별로 모형을 구축하였다.

Keywords

References

  1. 이계동, 이재기, 정성혁 (2007), 3D 영상취득에 의한 매장문화재의 효율적 측정기법, 한국측량학회지,한국측량학회, 제25권, 제 2호 pp. 157-163
  2. 이재기, 정성혁 (2004), 산업사진측량을 이용한 터널의 천단 및 내공변위 관측, 한국측량학회지, 한국측량학회, 제22권, 제3호, pp. 209-215
  3. 정성혁,유정흠,손세원,이재기(2003),근거리사진측량과 레이저스캐너를 이용한 문화재 정밀측정, 춘계학술발표회 논문집, 한국측량학회, pp. 493-496
  4. Alshawabkeh, Y. and Haala, N. (2005), Automatic Multi-Image Photo-Texturing of Complex 3D Scenes, CIPA 2005 XX International Symposium, Torino, Italy, CD-ROM
  5. Deng, F., Zhang, Z. and Zhang, J. (2005). Construct 3D City Model by Multi-Sensor Data, ISPRS Workshop on Service and Application of Spatial Data Infrastructure, Hangzhou, China, pp. 187-190
  6. Ewald, K. and Coors, V. (2005), Appraisal of standards for 3D City Models, Proceedings of the Ninth International Conference on Information Visualisation, pp. 157-162
  7. Fiani, M. and Siani, N. (2005), Comparison of Terrestrial Laser Scanners in Production of DEMs for Cetara Tower, CIPA 2005 XX International Symposium, Torino, Italy, CD-ROM
  8. Gonzo, L., El-Hakim, S., Picard, M., Girardi, S. and Whiting, E. (2004), Photo-Realistic 3D Reconstruction of Castles with Multiple-Sources Image-Based Techniques, Proceedings of ISPRS XXth Congress, Istanbul, Turkey: pp. 120-125
  9. GoogleEarth, http://earth.google.com
  10. Gross, H., Thoennessen, U. and Hansen, W.V. (2005), 3D Modeling of Urban Structures, IAPRS, Vienna, Austria, Vol. XXXVI Part 3/W24, pp. 137-142
  11. Kersten, T., Pardo, C.A. and Lindstaedt, M. (2004), 3D Acquisition, Modelling and Visualization of North German Castles by Digital Architectural Photogrammetry, Proceedings of ISPRS XXth Congress, Istanbul, Turkey, pp. 126-132
  12. Kokkas, N. and Smith, M. (2007), Automated 3D City Modelling and the Importance of Quality Assurance Techniques, ISPRS Hannover Workshop 2007, CD-ROM
  13. Microsoft Virtual Earth, http://map.live.com
  14. NSW MARITIME, http://www.maritime.nsw.gov.au
  15. Pearce, J.M., Johnson, S.J. and Grant, G.B. (2007), 3D-Mapping Optimization of Embodied Energe of Transportation, Resources, Conservation and Recycling, Vol. 51, pp. 435-453 https://doi.org/10.1016/j.resconrec.2006.10.010
  16. Pollefeys, M., Koch, R., Vergauwen, M. and Gool, L.V. (2000), Automated Reconstruction of 3D Scenes from Sequences of Images, ISPRS Journal of Photogrammetry & Remote Sensing, Vol. 55, pp. 251-267 https://doi.org/10.1016/S0924-2716(00)00023-X
  17. Sequeira, V., Ng, K., Wolfart, E., Goncalves, J.G.M. and Hogg, D. (1999), Automated reconstruction of 3D models from real environments, ISPRS Journal of Photogrammetry & Remote Sensing, Vol. 54, pp. 1-22 https://doi.org/10.1016/S0924-2716(98)00026-4
  18. Trimble, http://www.trimble.com
  19. Wikipedia, http://www.wikipedia.org
  20. Wolf, P.R. and Dewitt, B.A. (2000), Elements of Photogrammetry with Applications in GIS - 3rd editions, pp. 147-163
  21. Wüst, T., Nebiker, S. and Landolt, R. (2004), Applying the 3D GIS DILAS to Archaeology and Cultural Heritage Projects - Requirements and First Results, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. 34, Part XXX, CD-ROM