Graph matching in 3D space for structural seismic damage assessment

Proceedings of the IEEE International Conference on Computer Vision

Volumn , Issue , 2011, Pages 204-211

  Gerke, Markus ^a   Kerle, Norman ^a  

^a UNIVERSITY OF TWENTE   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

3-D SPACE; AIRBORNE IMAGES; BUILDING DAMAGE; CLASSIFICATION RATES; GRAPH MATCHINGS; GRAPH-BASED LEARNING; OBJECT CLASS; OBJECT SPACE; OBJECT STRUCTURE; PRACTICAL PROBLEMS; PRE-SEGMENTATION; RUBBLE PILE; SEISMIC DAMAGE ASSESSMENT; SENSING DATA; SPATIAL RELATIONS; SUPERVISED CLASSIFICATION;

DAMAGE DETECTION; IMAGE PROCESSING; SEISMOLOGY; THREE DIMENSIONAL;

BUILDINGS;

EID: 84856659273     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCVW.2011.6130244     Document Type: Conference Paper

References (19)

1. T. Blaschke. Object based image analysis for remote sensing. ISPRS Journal of Photogrammetry and Remote Sensing, 65(1):2-16, 2010.
2. L. P. Cordella, P. Foggia, C. Sansone, and M. Vento. An improved algorithm for matching large graphs. In In: 3rd IAPR-TC15 Workshop on Graph-based Representations in Pattern Recognition, Cuen, pages 149-159, 2001.
3. F̈orstner, Liedtke, and B̈uckner, editors. Workshop on "Semantic Modelling for the Acquisition of Topographic Information from Images and Maps", (SMATI), Munich, 1999.
4. F̈orstner and Pl̈umer, editors. Semantic Modeling for the Acquisition of Topographic Information from Images and Maps. Birkḧauser, 1997.
5. Y. Freund and R. E. Schapire. Experiments with a new boosting algorithm. In Machine Learning: Proceedings of the Thirteenth International Conference, page 148156. Morgan Kaufman.
6. M. Gerke. Supervised classification of multiple view images in object space for seismic damage assessment. In Lecture Notes in Computer Science: Photogrammetric Image Analysis Conference 2011, volume 6952, pages 221-232. Springer, Heidelberg, 2011.
7. M. Gerke and N. Kerle. Automatic structural seismic damage assessment with airborne oblique pictometry imagery. Photogrammetric Engineering & Remote Sensing, 77(9):885-898, 2011.
8. J. Hartz. Learning probabilistic structure graphs for classification and detection of object structure. In IEEE Proceedings of the International Conference on Machine Learning and Applications, 2009.
9. J. Jia and K. Abe. Automatic generation of prototypes in 3d structural object recognition. In Pattern Recognition, 1998. Proceedings. Fourteenth International Conference on, volume 1, pages 697-700 vol. 1, aug 1998.
10. N. Kerle. Satellite-based damage mapping following the 2006 indonesia earthquake-how accurate was it? International Journal of Applied Earth Observation and Geoinformation, 12(6):466-476, 2010.
11. S. Kumar and M. Hebert. Discriminative random fields. International Journal of Computer Vision, 68(2):179-201, 2006.
12. J. Lafferty, A. McCallum, and F. Pereira. Conditional random fields: Probabilistic models for segmenting and labeling sequence data. In International Conference on Machine Learning, page 282289, 2001.
13. G. Papadopoulos, C. Saathoff, H. Escalante, V. Mezaris, I. Kompatsiaris, and M. Strintzis. A comparative study of object-level spatial context techniques for semantic image analysis. Computer Vision and Image Understanding, 115(9):1288-1307, 2011.
14. G. Petrie. Systematic oblique aerial photography using multi frame cameras. Photogrammetric Engineering & Remote Sensing, 75(2):102-108, 2009.
15. Pictometry. Homepage Pictometry International Corporation. http://www. pictometry. com (accessed 30 April 2011), 2011.
16. J. Porway, Q. Wang, and S. C. Zhu. A hierarchical and contextual model for aerial image parsing. International Journal of Computer Vision, 88:254-283, 2010.
17. R. Raveaux, S. Adam, P. H́eroux, and E. Trupin. Learning graph prototypes for shape recognition. Computer Vision and Image Understanding, 115(7):905-918, 2011. Special issue on Graph-Based Representations in Computer Vision.
18. A. Stumpf and N. Kerle. Object-oriented mapping of landslides using random forests. Remote Sensing of Environment, 2011. in PRESS.
19. G. Vosselman and H.-G. Maas, editors. Airborne and Terrestrial Laser Scanning. Whittles, Caithness, 2010.