Object-based detection and classification of Vehicles from high-resolution aerial photography

Photogrammetric Engineering and Remote Sensing

Volumn 75, Issue 7, 2009, Pages 871-880

  Holt, Ashley C ^a   Seto, Edmund Y W ^a   Rivard, Tom ^b   Gong, Peng ^c  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c NONE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AIR QUALITY; IMAGE ANALYSIS; IMPORTANCE SAMPLING; NOISE POLLUTION; OBJECT DETECTION; POLLUTION; TRUCKS; VEHICLES;

AIR POLLUTION MODELS; AIR QUALITY MODELS; FIXED POINT METHODS; FUZZY SET MEMBERSHIP; HIGH SPATIAL RESOLUTION IMAGERY; HIGH-RESOLUTION REMOTELY SENSED IMAGERIES; METROPOLITAN AREA; OBJECT-BASED CLASSIFICATIONS;

AERIAL PHOTOGRAPHY;

AERIAL PHOTOGRAPHY; AIR QUALITY; ATMOSPHERIC MODELING; AUTOMOBILE; DETECTION METHOD; IMAGE CLASSIFICATION; METROPOLITAN AREA; NOISE POLLUTION; OPTIMIZATION; PARAMETERIZATION; REMOTE SENSING; SPATIAL RESOLUTION; TRAFFIC EMISSION;

EID: 68649090261     PISSN: 00991112     EISSN: None     Source Type: Journal    
DOI: 10.14358/PERS.75.7.871     Document Type: Article

References (29)

1. Baatz M., A. Schape, 2000. Multiresolution segmentation: An optimization approach for high quality multi-scale image segmentation, Angewandte Geographische Informationsverar-beitung XII, Karlsruhe, pp. 12-23.
2. Bellemans T., B. D. Schutter, B. D. Moor, 2000. On data acquisi tion, modeling and simulation of highway traffic, Proceedings i the 9th IFAC Symposium on Control in Transportation System. 2000, 13-15 June, Braunschweig, Germany, pp. 22-27.
3. Cardoso J. S., L. Corte-Real, 2005. Toward a generic evaluatio: of image segmentation, IEEE Transactions on Image Processin 14 (11):1773-1782.
4. Carleer A. P., O. Deheir, E. Wolff, 2005. Assessment of very high resolution satellite image segmentations, Photogrammetr Engineering & Remote Sensing, 71 (11):1285-1294.
5. FHWA, 1996. Federal Size Regulations for Commercial Motor Vehicles, U. S. Department of Transportation, Federal Highwa; Administration.
6. Forkenbrock D. J., L. A. Schweitzer, 1999. Environmental justi in transportation planning, Journal of the American Planning Association, 65 (1):96-111.
7. Forkenbrock D. J., G. E. Weisbrod, 2001. NCHRP Report 456, Guidebook for Assessing the Social and Economic Effects of Transportation Projects, Transportation Research Board.
8. th ISPRS Congress, 12-23 July, Istanbul, Turkey, unpaginated CD-ROM.
9. Gong P., 2003. Information extraction for human settlements, Manual of Remote Sensing (A. Renz, editor), American Society for Photogrammetry and Remote Sensing, Bethesda, Maryland
10. Gong P., J. Wang, 1997. Road network extraction from airborne digital camera data, Geographic Information Sciences, 3 (l-2):51-59.
11. Graettinger A. J., R. R. Kilim, M. R. Govindu, P. W. Johnson, S. R. Durrans, 2005. Federal Highway Administration vehicle classification from video data and a disaggregation model, Journal of Transportation Engineering, 131 (9):689-698.
12. Haverkamp D., 2002. Extracting straight road structure in urban environments using IKONOS satellite imagery, Optical Engineering, 41 (9):2107-2110.
13. Kunzli N., R. Kaiser, S. Medina, M. Studnicka, O. Chanel, P. Filliger, M. Herry, J. F. Horak, V. Puybonnieux-Texier, P. Quenel, J. Schneider, R. Seethaler, J. C. Vergnaud, H. Sommer, 2000. Public-health impact of outdoor and traffic-related air pollution: A European assessment, The Lancet, 356 (9232):795-801.
14. Lyons T. J., J. R. Kenworthy, C. Moy, F. D. Santos, 2003. An international urban air pollution model for the transportation sector, Transportation Research Part D, 8:159-167.
15. McCord, M. P. Goel, Z. Jiang, B. Coifman, Y. Yang, C. Merry, 2002. Improving AADT and VDT estimation with high-resolution satellite imagery, Proceedings of the Pecora 15/Land Satellite Information IV Symposium 2002, 10-15 November, unpaginated CD-ROM.
16. Meinel G., M. Neubert, 2004. A comparison of segmentation programs for high resolution remote sensing data, International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, XXXV (B4):1097-1102.
17. Menge C. C. Rossano, G. Anderson, C. Bajdek. 1998. FHWA Traffic Noise Model (TNM), Final Report, FHWA-PD-95-010, U. S. Department of Transportation, Federal Highway Administration.
18. Niu X., F. Xu, R. Li C. Merry, M. O'Kelly, T. Matisziw, 2002. Detection of trucks from georeferenced aerial photographs, Proceedings of the ACSM-ASPRS Conference and Technology Exhibition, 19-26 April, Washington, D. C., (XXII FIG International Congress), unpaginated CD-ROM.
19. Pal N. R., S. K. Pal, 1993. A review on image segmentation techniques, Pattern Recognition, 26:1277-1294.
20. Pless R., D. Jurgens, 2004. Road extraction from motion cues in aerial video, Proceedings of the ACM Conference on Geographic Information Systems, pp. 31-38.
21. st International Conference on Object-based Image Analysis (OBIA 2006), unpaginated CD-ROM.
22. Seto E. Y. W., A. Holt, T. Rivard, R. Bhatia, 2007. Spatial distribution of traffic induced noise exposures in a US city: An analytic tool for assessing the health impacts of urban planning decisions, International Journal of Health Geographies, 6 (24), URL: http://www.ij-healthgeographics.eom/content/6/1/24 (last date accessed: 10 April 2009).
23. Sharma G., C. J. Merry, P. Goel, M. McCord, 2006. Vehicle detection in 1-m resolution satellite and airborne imagery, International Journal of Remote Sensing, 27 (4):779-797.
24. Toth C. K., D. Grejner-Brzezinska, 2006. Extracting dynamic spatial data from airborne imaging sensors to support traffic flow estimation, ISPRS Journal of Photogrammetry and Remote Sensing, 61 (3-4):137-148.
25. th International Conference on Pattern Recognition, 23-26 August, Cambridge, UK, (IEEE), unpaginated CD-ROM.
26. Wachtel A., D. Lewiston, 1996. Risk factors for bicycle-motor vehicle collisions at intersections, Journal of Safety Research, 27:195-195.
27. Xiao Y., T. Tan, S. Tay, 2005. Utilizing edge to extract roads in high-resolution satellite imagery, Proceedings of the IEEE International Conference on Image Processing, 11-14 September, pp. 637-40.
28. Zhang H., A. Fritts, S. A. Goldman, 2005. A co-evaluation framework for improving segmentation evaluation, Proceedings of SPIE Signal Processing and Target Recognition XIV, pp. 420-430.
29. Zhang Y. J., 1996. A survey on evaluation methods for image segmentation, Pattern Recognition, 29 (8):1335-1346.