A snake-based approach for TIGER road data conflation

Cartography and Geographic Information Science

Volumn 33, Issue 4, 2006, Pages 287-298

  Song, Wenbo ^a   Haithcoat, Timothy L ^a   Keller, James M ^a  

^a UNIVERSITY OF MISSOURI   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

FEATURE EXTRACTION; GEOGRAPHIC INFORMATION SYSTEMS; GLOBAL POSITIONING SYSTEM; MAPPING; REMOTE SENSING;

TOPOLOGICALLY INTEGRATED GEOGRAPHIC ENCODING AND REFERENCING (TIGER); TRADITIONAL CONFLATION METHODOLOGY; VECTOR IMAGERY CONFLATION;

TOPOLOGY;

GIS; MAPPING; METHODOLOGY; SPATIAL DATA; VECTOR;

SERPENTES;

EID: 33846982271     PISSN: 15230406     EISSN: None     Source Type: Journal    
DOI: 10.1559/152304006779500669     Document Type: Article

References (31)

1. Agouris, P., A. Stefanidis, and S. Gyftakis. 2001. Differential snakes for change detection in road segments. Photogrammetric Engineering & Remote Sensing 67(12): 1391-9.
2. Baumgartner, A., C. Steger, H. Mayer, W. Eckstein, and H. Ebner. 1999. Automatic road extraction based on multi-scale, grouping and context. Photogrammetric Engineering & Remote Sensing 65(7): 777-85.
3. Bentabet, L., S. Jodouin, D. Ziou, and J. Vaillancourt. 2003. Road vectors update using SAR imagery: A snake-based method. IEEE Transactions on Geoscience and Remote Sensing 41(8): 1785-1803.
4. Broome, F.R., and L. S. Godwin. 2003. Partnering for the people: Improving the U.S. Census Bureau's MAF/TIGER Database. Photogrammetric Engineering & Remote Sensing 69(10):1119-23.
5. Caselles, V., R. Kimmel, and G. Sapiro. 1997. Geodesic active contours. Intemational Journal of Computer Vision 22(1): 61-79.
6. Chan, T.F., and L.A. Vese. 2001. Active contours without edges. IEEE Transactions on Image Processing 10(2): 266-77.
7. Chen, C.C., C.A. Knoblock, C. Shahabi, Y. Chiang, and S. Thakkar. 2004. Automatically and accurately conflating orthoimagery and street maps. In: Proceedings of GIS'04, 12-13 November 2004, Washington, D.C.
8. Cobb, M.A., M.J. Chung, H. Foley, F.E. Petry, and K.B. Shaw. 1998. A rule-based approach for the conflation of attributed vector data. Geoinformatica 2(1): 7-35.
9. Cohen, L.D., and I. Cohen. 1993. Finite-element methods for active contour models and balloons for 2-D and 3-D images. IEEE Transactions on Pattern Analysis and Machine Intelligence 15(11): 1131-47.
10. ESRI (Environmental Systems Research Institute). 2004. Arc/Info help document.
11. Filin, S., and Y. Doytsher. 1999. Linear approach to map conflation: Matching of polylines. Surveying and Land Information Systems 59(2): 107-14.
12. Fortier, M. F.A., D. Ziou, C. Armenakis, and S. Wang. 2001. Automated correction and updating of road databases from high-resolution imagery. Canadian Journal of Remote Sensing 27(1): 76-89.
13. GIS/Trans, ltd, 1995, Conflation background information. [http://www.gistrans.com/products/cf_info.html; accessed August 2005].
14. Grady, K., and L. Godwin. 2000. The positional accuracy of MAF/TIGER.
15. [http://www.census.gov/geo/mod/positional_accuracy.pdf; accessed August 2005].
16. Gruen, A., and H. Li. 1997. Semi-automatic linear feature extraction by dynamic programming and LSB-snakes. Photogrammetric Engineering & Remote Sensing 63 (8): 985-95.
17. Kass, M., A. Witkin, and D. Terzopoulos. 1988. Snakes: Active contour models. Intemational Journal of Computer Vision 1(4): 321-31.
18. Klang, D. 1998. Automatic detection of changes in road databases using satellite imagery. International Archives of Photogrammetry and Remote Sensing 32(4): 293-8.
19. Laptev, I., H. Mayer, T. Lindeberg, W. Eckstein, C. Steger, and A. Baumgartner. 2000. Automatic extraction of roads from aerial images based on scale space and snakes. Machine Vision and Applications 12: 23-31.
20. Marx, R. W. 2000. A vision for a 21st century MAF/TIGER. [http://www.census.gov/geo/mod/vision.pdf; accessed August 2005].
21. McInerney, T., and D. Terzopoulos. 1996. Deformable models in medical image analysis: A survey. Medical Image Analysis 1(2): 91-108.
22. Neuenschwander, W. M., P. Fua, L. Iverson, G. Szekely, and O. Kubler. 1997. Ziplock snakes. International Journal of Computer Vision 25(3): 191-201.
23. Rahimi, S., M. Cobb, D. Ali, M. Paprzycki, and F.E. Petry. 2002. A knowledge-based multi-agent system for geospatial data conflation. Journal of Geographic Information and Decision Analysis 6(2): 67-81.
24. Saalfeld, A. 1988. Automated map compilation. International Journal of Geographic Information Systems 2(3): 217-28.
25. Samal, A., S. Seth, and K. Cueto. 2004. A feature-based approach to conflation of geospatial sources. International Journal of Geographical Information Science 18(5): 459-89.
26. Sperling, J., and S.A. Sharp. 1999. A prototype cooperative effort to enhance TIGER. URISA Journal 11(2): 35-42.
27. Walter, V., and D. Fritsch. 1999. Matching spatial data sets: A statistical approach. International Journal of Geographic Information Science 13(5): 445-73.
28. Xiong, D., and J. Sperling. 2004. Semiautomated matching for network database integration. ISPRS Journal of Photogrammetry & Remote Sensing 59(1-2): 35-46.
29. Xu, C., and J.L. Prince. 1998. Snakes, shapes and gradient vector flow. IEEE Transactions on Image Processing 7(3): 359-69.
30. Yuan, S., and C. Tao. 1999. Development of conflation components. In: Proceedings of Geoinformatics 99, 19-21 June, Ann Arbor, Michigan.
31. Yuille, A. L., P. W. Hallinan, and D. S. Cohen. 1992. Feuture xeature extraction from faces using deformable templates. International Journal of Computer Vision 8(2): 99-111.