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SYSTEM OF AUTOMATIC 3D-RECONSTRUCTION OF URBAN SCENES FROM SATELLITE IMAGES BASED ON A PRIORI INFORMATION

postgraduate Alexei Tuzhilkin

First published: 2016-06-28https://doi.org/10.5593/sgem2016/b22/s10.130View metrics

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Title
SYSTEM OF AUTOMATIC 3D-RECONSTRUCTION OF URBAN SCENES FROM SATELLITE IMAGES BASED ON A PRIORI INFORMATION
Authors
postgraduate Alexei Tuzhilkin
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 16th International Multidisciplinary Scientific GeoConference SGEM2016, Informatics, Geoinformatics and Remote Sensing
Publisher
Stef92 Technology
Year
2016
Pages
1019-1026
ISSN
1314-2704
ISBN
978-619-7105-59-9
Language
en
Publication type
Conference Paper
References24
  1. Musialski P., Wonka P., Aliaga D. G., Wimmer M., van Gool L., Purgathofer W., A Survey of Urban Reconstruction, In EUROGRAPHICS 2012 State of the Art Reports, Italy, 2012, pp 1-28.

  2. Pal Singh S., Jain K., Ravibabu Mandla V., Virtual 3D city modeling: techniques and applications, International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XL-2/W2, ISPRS 8th 3DGeoInfo Conference & WG II/2 Workshop, Turkey, 2013, pp 73-91.

  3. Kolbe T. H., Groger G., Plumer L., CityGML interoperable access to 3d city models, Proc. of the first International Symposium on Geo-Information for Disaster Management, Netherlands, 2005, pp 883-899.

  4. Zakharov A., Zhiznyakov A., Automatic reconstruction of three-dimensional objects using patterns for CAD-systems, 14th international multidisciplinary scientific GeoConference on Science and technologies in geology exploration and mining. Conference proceeding. Informatics, Geoinformatics and Remote Sensing, Bulgaria, Vol. 1, 2014, pp 57-64.

  5. Cornelis N., Leibe B., Cornelis K., Gool L., 3D urban scene modeling integrating recognition and reconstruction, International Journal of Computer Vision, United States, no. 78, 2008, pp 121–141.

  6. Vincent Tao C., Hu Yong, 3D Reconstruction methods based on Rational Function Model, Photogrammetric Engineering and Remote Sensing, United States, Vol. 68, No. 7, 2002, pp 705-714.

  7. Felzenszwalb P.F., Huttenlocher D.P. , Efficient graph based image segmentation , International Journal of Computer Vision, United States, no. 59(2), 2004, pp 167-181.

  8. Sirmacek B., Unsalan C., Building detection from aerial images using invariant color features and shadow information, 23rd International Symposium on Computer and Information Sciences, Turkey, 2008, p 105.

  9. Shorter N., Kasparis T., Automatic vegetation identification and building detection from a single nadir aerial image, Remote Sensing, Switzerland, no. 1, 2009, pp 731-757.

  10. Otsu N., A threshold selection method from gray-level histograms, IEEE Transactions on Systems, Man and Cybernetics, United States, vol. 9, 1979, pp 62–66.

  11. Shi J., Malik J., Normalized Cuts and Image Segmentation, IEEE Transactions on Pattern Analysis and Machine Intelligence, United States, Vol. 22, no. 8, 2000, pp 888- 905.

  12. Riocreux P.A. , Thacker N.A. , Yates R.B., An Analysis of Pairwise Geometric Histograms for View -Based Object Recognition, In Proc. British Machine Vision Conference, England, 1994, pp 75-84. 16th International Multidisciplinary Scientific GeoConference SGEM2016 www.sgem.org

  13. Musialski P., Wonka P., Aliaga D. G., Wimmer M., van Gool L., Purgathofer W., A Survey of Urban Reconstruction, In EUROGRAPHICS 2012 State of the Art Reports, Italy, 2012, pp 1-28.

  14. Pal Singh S., Jain K., Ravibabu Mandla V., Virtual 3D city modeling: techniques and applications, International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XL-2/W2, ISPRS 8th 3DGeoInfo Conference & WG II/2 Workshop, Turkey, 2013, pp 73-91.

  15. Kolbe T. H., Groger G., Plumer L., CityGML interoperable access to 3d city models, Proc. of the first International Symposium on Geo-Information for Disaster Management, Netherlands, 2005, pp 883-899.

  16. Zakharov A., Zhiznyakov A., Automatic reconstruction of three-dimensional objects using patterns for CAD-systems, 14th international multidisciplinary scientific GeoConference on Science and technologies in geology exploration and mining. Conference proceeding. Informatics, Geoinformatics and Remote Sensing, Bulgaria, Vol. 1, 2014, pp 57-64.

  17. Cornelis N., Leibe B., Cornelis K., Gool L., 3D urban scene modeling integrating recognition and reconstruction, International Journal of Computer Vision, United States, no. 78, 2008, pp 121–141.

  18. Vincent Tao C., Hu Yong, 3D Reconstruction methods based on Rational Function Model, Photogrammetric Engineering and Remote Sensing, United States, Vol. 68, No. 7, 2002, pp 705-714.

  19. Felzenszwalb P.F., Huttenlocher D.P. , Efficient graph based image segmentation , International Journal of Computer Vision, United States, no. 59(2), 2004, pp 167-181.

  20. Sirmacek B., Unsalan C., Building detection from aerial images using invariant color features and shadow information, 23rd International Symposium on Computer and Information Sciences, Turkey, 2008, p 105.

  21. Shorter N., Kasparis T., Automatic vegetation identification and building detection from a single nadir aerial image, Remote Sensing, Switzerland, no. 1, 2009, pp 731-757.

  22. Otsu N., A threshold selection method from gray-level histograms, IEEE Transactions on Systems, Man and Cybernetics, United States, vol. 9, 1979, pp 62–66.

  23. Shi J., Malik J., Normalized Cuts and Image Segmentation, IEEE Transactions on Pattern Analysis and Machine Intelligence, United States, Vol. 22, no. 8, 2000, pp 888- 905.

  24. Riocreux P.A. , Thacker N.A. , Yates R.B., An Analysis of Pairwise Geometric Histograms for View -Based Object Recognition, In Proc. British Machine Vision Conference, England, 1994, pp 75-84. 16th International Multidisciplinary Scientific GeoConference SGEM2016 www.sgem.org

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