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A Semi-Automatic Building Modeling System Using a Single Satellite Image

단일 위성 영상 기반의 반자동 건물 모델링 시스템

  • 오선호 (경북대학교 전자전기컴퓨터학부) ;
  • 장경호 (경북대학교 전자전기컴퓨터학부) ;
  • 정순기 (경북대학교 컴퓨터공학과)
  • Published : 2009.12.31

Abstract

The spread of satellite image increases various services using it. Especially, 3D visualization services of the whole earth such as $Google\;Earth^{TM}$ and $Virtual\;Earth^{TM}$ or 3D GIS services for several cities provide realistic geometry information of buildings and terrain of wide areas. These service can be used in the various fields such as urban planning, improvement of roads, entertainment, military simulation and emergency response. The research about extracting the building and terrain information effectively from the high-resolution satellite image is required. In this paper, presents a system for effective extraction of the building model from a single high-resolution satellite image, after examine requirements for building model extraction. The proposed system utilizes geometric features of satellite image and the geometric relationship among the building, the shadow of the building, the positions of the sun and the satellite to minimize user interaction. Finally, after extracting the 3D building, the fact that effective extraction of the model from single high-resolution satellite will be show.

최근 고해상도 위성 영상의 보급에 따라 이를 활용한 서비스가 증가하고 있다. 특히, $Google\;Earth^{TM}$$Virtual\;Earth^{TM}$와 같은 전 지구 차원 의 3차원 가시화 서비스나 최근 일부 도시에 대하여 제공되고 있는 3차원 GIS 서비스는 지형과 지물에 대한 사실적인 기하정보를 제공하고 있다. 이러한 서비스들은 도시 개발 계획의 수립, 도로망의 개선, 엔터테인먼트 사업, 군사 시뮬레이션, 재난 및 재해 관리 등의 다양한 분야에 활용이 가능하다. 이러한 활용을 위해서는 고해상도 위성 영상을 이용하여 지형 및 지물 정보를 효과적으로 추출하는 연구가 요구된다. 본 논문 에서는 단일 위성 영상으로부터 건물의 3차원 모델을 추출하기 위한 요구사항을 살펴본 뒤 이를 기반으로 효과적인 모델 추출을 위한 시스템 을 제안한다. 제안하는 시스템은 영상의 특징 정보와 건물, 위성, 태양의 기하 관계를 이용하여 최소한의 사용자 조작으로 건물의 3차원 모델을 추출한다. 마지막으로 실제 위성 영상으로부터 건물의 3차원 모델 추출을 수행하고 효과적으로 3차원 모델을 획득할 수 있음을 보인다.

Keywords

References

  1. C. Baillard and A. Zisserman, “A plane-sweep strategy for the 3d reconstruction of buildings from multiple images,” in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol.33(B2), pp. 56-62, 2000
  2. Z. Kim and R. Nevatia, “Automatic description of complex buildings from multiple images,” Comput. Vis. Image Underst., Vol.96, No.1, pp.60-92, 2004 https://doi.org/10.1016/j.cviu.2004.05.004
  3. F. Taillandier and R. Deriche, “Automatic building reconstruction from aerial images: a generic bayesian framework,” in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XXXV(B3), pp. 343-348, 2004
  4. M. Bredif, D. Boldo, M. Pierrot Deseilligny, and H. Maitre, “3d building reconstruction with parametric roof superstructures,” IEEE Intl. Conf. on Image Processing, Vol.2, pp. 537-540, 2007
  5. S. C. Lee, A. Huertas, and R. Nevatia, “Modeling 3-d complex buildings with user assistance,” IEEE Workshop on Applications of Computer Vision, pp.170-177, 2000
  6. P. E. Debevec, C. J. Taylor, and J. Malik, “Modeling and rendering architecture from photographs: a hybrid geometry and image-based approach,” in SIGGRAPH '96: Proc. of the 23rd Annual Conf. on Computer Graphics and Interactive Techniques. New York, NY, USA: ACM, pp.11-20, 1996
  7. J. Li, R. Nevatia, and S. Nornoha, “User assisted modeling of buildings from aerial images,” IEEE Computer Society Conf. on Computer Vision and Pattern Recognition, Vol.2, pp. 274-279, 1999
  8. S. C. Lee and R. Nevatia, “Interactive 3d building modeling using a hierarchical representation,” in HLK '03: Proc. of the First IEEE Intl. Workshop on Higher-Level Knowledge in 3D Modeling and Motion Analysis. Washington, DC, USA: IEEE Computer Society, pp.58-65, 2003
  9. C. Lin, R. Nevatia, “Building Detection and Description from a Single Intensity Image,” Computer Vision and Image Understanding, Vol.72, No.2, pp.101-121, 1998 https://doi.org/10.1006/cviu.1998.0724
  10. A. Croitoru, Y. Hu, V. Tao, Z. Xu, F. Wang, and P. Lenson, “Single and stereo based 3D metrology from high resolution imagery: methodologies and accuracies,” Proceedings of the XXth International Society for Photogrammetry and Remote Sensing (ISPRS) Congress, Vol.34, pp.1022-1027, Istanbul, Turkey. 2004
  11. P. Sarabandi, B. Adams, A. Kiremidjian and R. Eguchi, “Infrastructure Inventory Compilation Using Single High Resolution Satellite Images”, 3rd International Workshop on Remote Sensing Technologies and Disaster Response, Chiba, Japan. 2005
  12. J. Y. Rau, and L. C. Chen, “Robust Reconstruction of Building Models from Three-Dimensional Line Segment,” Photogrammetric engineering and remote sensing, pp.181-188, 2003
  13. C. Baollard, and H. Maitre, “3-D Reconstruction of Urban Scenes from Aerial Stereo Imagery : A Focusing Strategy,” Computer Vision and Image Understanding, pp.244-258, 1999
  14. K. Karner, G. Hesina, S. Maierhofer and R. F. Tobler, “Improved Reconstruction and Rendering of Cities and Terrains based on Multispectral Digital Aerial Imagses,” International symposium on Information and Communication Technologies in Urban and Spatial Planning, pp.299-304, 2006
  15. L. C. Chen, T. A. Teo, C. H. Hsieh and J. Y. Rau, “Building Reconstruction From LIDAR Data and Aerial Imagery,” Geoscience and Remote Sensing Symposium, IGARSS '05, Proceedings, pp.431-439, 2005
  16. L. C. Chen, T. A. Teo, C. H. Hsieh and J. Y. Rau, “Reconstruction of Building Models with Curvilinear Boundaries from Laser Scanner and Aerial Imagery,” Lecture Notes in Computer Science, pp.24-33, 2006
  17. 이태윤, 임영재, 김태정, “단일 고해상도 위성영상으로부터 그림자를 이용한 3차원 건물정보 추출,” 한국지형공간정보학회지, Vol.14, No.2, pp.3-13, 2006
  18. 김혜진, 한동엽, 김용일, “삼각벡터구조를 이용한 고해상도 위성 단영상에서의 건물 높이 추출,” 대한원격탐사학회지, Vol.22, No.6, pp.621-626, 2006 https://doi.org/10.7780/kjrs.2006.22.6.621
  19. M. M$\ddot{a}$ntyl$\ddot{a}$, “An introduction to solid modeling,” New York, NY, USA:W. H. Freeman & Co., 1988
  20. V. Shettigara and G. Sumerling, “Height determination of extended objects using shadows in spot images,” Photogrammetric Engineering and Remote Sensing, Vol.64, No.1, pp.35-44, Jan., 1998
  21. K. H. Jang and S. K. Jung, “Practical Modeling Technique for Large Scale 3D Building Models from Ground Images,” Pattern Recognition Letters, Vol.30, No.10, pp.861-869, 2009 https://doi.org/10.1016/j.patrec.2009.04.004
  22. J. Huang, W. Xie, and L. Tang, “Detection of and compensation for shadows in colored urban aerial images,” WCICA 2004, Vol.4, pp.3098-3100, 2004
  23. A. Polidorio, F. Flores, N. Imai, A. Tommaselli, and C. Franco, “Automatic shadow segmentation in aerial color images,” SIBGRAPI 2003, pp.270-277, 2003
  24. V. Tsai, “A comparative study on shadow compensation of color aerial images in invariant color models,” IEEE Trans. on Geoscience and Remote Sensing, Vol.44, No.6, pp.1661-1671, 2006 https://doi.org/10.1109/TGRS.2006.869980
  25. N. Otsu, “A threshold selection method from gray-level histograms,” IEEE Trans. on Systems Man and Cybernetics, Vol.9, No.1, pp.62-66, 1979 https://doi.org/10.1109/TSMC.1979.4310076
  26. Y. Qu, C. Cui, S. Chen, and J. Li, “A fast subpixel edge detection method using sobel-zernike moments operator,” IVC 2004, Vol.23, No.1, pp.11-17, Jan., 2004