Automatic generation of high resolution urban zone digital elevation models

ISPRS Journal of Photogrammetry and Remote Sensing

Volumn 52, Issue 1, 1997, Pages 33-47

  Gabet, L ^a   Giraudon, G ^b   Renouard, L ^a  

^a ISTAR   (France)

^b INRIA   (France)

Author keywords

Digital Elevation Model; multiple correlation algorythms; sequence of aerial images; stereovision process; urban database

Indexed keywords

AERIAL IMAGE; DATABASE CONSTRUCTION; DEM; DIGITAL ELEVATION MODEL; URBAN AREA; URBAN MAPPING;

AUTOMATION; BUILDINGS; CORRELATION THEORY; DATA ACQUISITION; DATABASE SYSTEMS; ERRORS; IMAGE RECONSTRUCTION; MATHEMATICAL MODELS; STEREO VISION;

DIGITAL ELEVATION MODELS; URBAN DATABASE; URBAN ZONES;

IMAGING SYSTEMS;

EID: 0030617160     PISSN: 09242716     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0924-2716(96)00030-5     Document Type: Article

References (50)

1. Ackermann, F., 1996. Some considerations about feature matching for the automatic generation of digital elevation models. OEEPE Workshop on the Application of Digital Photogrammetric Workstations, Lausanne (Switzerland), March 1996. See http://dgrwww.epfl.ch/PHOT/publicat/wks96/tocwks96.html
2. Ayache, N. and Faverjon, B., 1987. Efficient registration of stereo images by matching graph descriptions of edge segments. Int. J. Comput. Vision, 1(2), April 1987.
3. Barnard, S.T. and Fischler, M.A., 1982. Computational stereo. Comput. Surveys, 14(4): 553-572.
4. Bignone, F., Henricsson, O., Fua, P. and Stricker, M., 1996. Automatic extraction of generic house roofs from high resolution aerial imagery. Computer Vision '96, March 1996.
5. Chung, R.C.K. and Nevatia, R., 1992. Recovering building structures from stereo. IEEE CVPR, No. 2840-5/92: 64-73.
6. Cochran, S.D. and Medioni, G., 1992. 3-d Surface description from binocular stereo. IEEE Trans. Pattern Anal. Machine Intelligence, 14(10): 981-994.
7. Collins, R.T., Jaynes, C., Stolle, F., Wang, X., Cheng, Y.Q., Hanson, A.R. and Riseman, M., 1995. A system for automated site model acquisition. In: SPIE (Editor), Integrating Photogrammetric Techniques with Scene Analysis and Machine Vision II, Orlando, FL, April 1995, pp. 244-254.
8. Dhond, U.R. and Aggarwal, J.K., 1989. Structure from stereo - a review. IEEE Trans. Systems Man Cybernetics, 19(6): 1489-1510.
9. Faugeras, O., Fua, P., Hotz, B., Ma, R., Robert, L., Thonnat, M. and Zhang, Z., 1992. Quantitative and qualitative comparison of some area-and feature-based stereo algorithms. IWRCV. Bonn, Germany, 1992.
10. Faugeras, O., 1993. Three-Dimensional Computer Vision: a Geometric Point of View. MIT Press, 1993.
11. Förstner, W., 1986. A feature based correspondence algorithm for image matching. Int. Arch. Photogramm. Remote Sensing Symp., 26(3/3): 150-166.
12. Förstner, W., 1988. Model based detection and location of houses as topographic control point in digital images. Int. Arch. Photogramm. Remote Sensing, 27: 505-517.
13. Förstner, W., 1996. Technical report, Institute of Photogrammetry, University of Bonn, 1996. http://www.ipb.univ-bonn.de
14. Fua, P., 1991. Combining stereo and monocular information to compute dense depth maps that preserve discontinuities. IJCAI Conference, Sydney, Australia, August 1991.
15. Gerson, D.J., 1992. Radius: The government viewpoint. SPIE, 20th AIPR Workshop, Vol. 1623, pp. 148-151.
16. Gerson, D.J. and Wood, S.E., 1994. Radius phase ii: The radius testbed system. ARPA94, pp. 231-237.
17. Gruber, M., Pasko, M. and Leberl, F., 1995. Geometric versus texture detail in 3d models of real world buildings. Ascona Workshop, April 1995, pp. 189-198.
18. Gruen, A., Kuebler, O. and Agouris, P. (Editors), 1995. Automatic Extraction of Man-Made Objects from Aerial and Space Images, Birkhauser, Monte Verita Ascona (Switzerland), April 1995.
19. Hannah, M.J., 1989. A system for digital stereo image matching. Photogramm. Eng. Remote Sensing, 55(12): 1765-1770.
20. Heipke, C., 1996. Overview of image matching techniques. OEEPE Workshop on the Application of Digital Photogrammetric Workstations, Lausanne (Switzerland), March 1996. See http://dgrwww.epfl.ch/PHOT/publicat/wks96/tocwks96.html
21. Henricsson, O., 1996a. Analysis of image structures using color attributes and similarity relations. Technical sciences, Swiss Federal Institute of Techno. Zurich, Zurich, June 1996.
22. Henricsson, O., 1996b. Project amobe: Strategies, current work. In: Commission III, Theory and Algorithms. International Society for Photogrammetry and Remote Sensing, Vienna, July 1996. pp. 321-330
23. Hoff, W. and Ahuja, N., 1989. Surfaces from stereo: Integrating feature matching, disparity estimation, and contour detection. IEEE Trans. Pattern Anal. Machine Intelligence, 11(2): 121-136.
24. Hsieh, Y.C., McKeown, D. and Perlant, F.P., 1992. Performance evaluation of scene registration and stereo matching for cartographic feature extraction. IEEE Trans. Pattern Anal. Machine Intelligence, 14(2): 214-238.
25. Jamet, O. and Le Men, H., 1995. Digital photogrammetry at the french national geographic institute: presentation of the research policy of a national mapping agency. In: SPIE (Editor), Integrating Photogrammetric Techniques with Scene Analysis and Machine Vision II, Orlando, Florida, April 1995, pp. 140-147.
26. Jamet, O., 1996. Automated feature extraction on digital photogrammetric systems. In: Commission III, Theory and Algorithms, Vienna, July 1996, pp. 365-376.
27. Kanade, T. and Okutomi, M., 1994. A stereo matching algorithm with an adaptive window: Theory and experiment. IEEE Trans. Pattern Anal. Machine Intelligence, 16(9): 920-932.
28. Labrousse, D., Dupont, S. and Berthod, M., 1995. Synthetic aperture radar interferometry: a markovian approach for phase unwrapping. In: SPIE (Editor), Integrating Photogrammetric Techniques with Scene Analysis and Machine Vision II, Orlando, Florida, April 1995.
29. Long, P. and Giraudon, G., 1986. Stereo matching based on contextual line-region primitives. 8th ICPR, Paris, October 1986. IEEE.
30. Lotti, J.L. and Giraudon, G., 1994. Adaptive window algorithm for aerial image stereo. In: Spatial Information from Digital Photogrammetry and Computer Vision. International Society for Photogrammetry and Remote Sensing, Munich, September 1994, pp. 517-524.
31. Maitre, H. and Luo, W., 1992. Using models to improve stereo reconstruction. IEEE Trans. Pattern Anal. Machine Intelligence, 14(2): 269-277.
32. The Manual of Photogrammetry, 1980. Am. Soc. Photogrammetry, Falls Church, VA, 1980.
33. McKeown, D.M. and Perlant, F.P., 1992. Refinement of disparity estimates through the fusion of monocular image segmentations. IEEE CVPR, No. 2855-3/92: 486-492.
34. McKeown, D.M., Cochran, S.D. and Ford, S.J., 1994. Research in the automated analysis of remotely sensed imagery: 1993-1994. ARPA Image Understanding Workshop, Montery, CA, November 1994.
35. Medioni, G. and Nevatia, R., 1985. Segment-based stereo matching. CVGIP Graph. Models Image Processing, 31: 2-18, 1985.
36. Meygret, A., Thonnat, M. and Berthod, M., 1992. A pyramidal Stereovision algorithm based on contour chain points. In: Computer Vision ECCV, Antibes, France, April 1992, pp. 83-88.
37. Muller, J.P. and Day, T., 1989. Digital elevation model production by stereo-matching spot image-pairs: a comparison of algorithms. Image Vision Comput., 7(2).
38. Okutomi, M. and Kanade, T., 1992. A locally adaptive window for signal matching. Int. J. Comput. Vision, 7(2): 143-162.
39. Okutomi, M. and Nakahara, T., 1992. A multiple-baseline stereo method. IEEE Image Understanding Workshop DARPA, 1992, pp. 409-427.
40. Paar, G. and Poelzleitner, W., 1991. Stereo vision and 3d terrain modelling for planetary exploration. First ESA Workshop on Computer Vision and Image Processing for Spaceborne Applications, Noordwijk, June 1991.
41. Perlant, F. and Massonnet, D., 1992. Different spot dem applications for studies in sar interferometry. ISPRS Commission IV, Washington, USA, August 1992.
42. Renouard, L., 1987. Création automatique de m.n.t. à partir de couples d'images spot. Technical report, Congrés, SPOT 1, Utilisation des Images, Bilan, Résultats. CNES, Paris, 1987.
43. Renouard, L., 1990. Experiences with automated terrain extraction from spot data. In: 10th Earsel sympothium, Paris, June 1990.
44. Renouard, L., 1991. Restitution automatique du relief à partir de Couples Stéréoscopiques d'images du satellite SPOT. Thèse de doctorat, Ecole Polytechnique, July 1991.
45. Robert, L. and Faugeras, O., 1991. Curve-based stereo: Figural continuity and curvature. In: CVPR. Lahaina Maui, USA, June 1991. pp. 57-62.
46. Rougé, B., Juline, P., Berthon, J., Laporte, M., Coutin-Faye, S. and Moura, D.J.P., 1991. Martian digital elevation (3d) modelling. First ESA Workshop on Computer Vision and Image Processing for Spaceborne Applications, Noordwijk, June 1991.
47. Roux, M., Hsieh, Y.C. and McKeown, M., 1995. Performance analysis of object space matching for building extraction using several images. In: SPIE (Editor), Integrating Photogrammetric Techniques with Scene Analysis and Machine Vision II, Orlando, Florida, April 1995, pp. 277-297.
48. Serra, B. and Berthod, M., 1994. Subpixel contour matching using continuous dynamic programming. CVPR, Seattle, USA, June 1994.
49. Venkateswar, V. and Chellappa, R., 1992. Hierarchical stereo matching using feature groupings. IEEE Image Understanding Workshop DARPA, January 1992, pp. 427-436.
50. Weidner, U. and Förstner, W., 1995. Towards automatic building extraction from high-resolution digital elevation models. ISPRS J. Photogramm. Remote Sensing, 50(4): 38-49.