URBAN OBJECT EXTRACTION from DIGITAL SURFACE MODEL and DIGITAL AERIAL IMAGES

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences

Volumn 1, Issue , 2012, Pages 215-220

  Grigillo, D ^a   Kanjir, U ^b  

^a UNIVERSITY OF LJUBLJANA   (Slovenia)

^b ANTON MELIK GEOGRAPHICAL INSTITUTE   (Slovenia)

Author keywords

Building extraction; Digital surface model; Object classification; Object based image analysis; Segmentation

Indexed keywords

EID: 84894745384     PISSN: 21949042     EISSN: 21949050     Source Type: Conference Proceeding    
DOI: 10.5194/isprsannals-I-3-215-2012     Document Type: Conference Paper

References (18)

1. Ardila, J.P., Bijker, W., Tolpekin, V., A., Stein, A., 2012. Context-sensitive extraction of tree crown objects in urban areas using VHR. International Journal of Applied Earth Observation and Geoinformation, 15, pp. 57-69.
2. Awrangjeb, M., Ravanbakhsh, M., Fraser, C. S., 2010. Automatic building detection using LIDAR data and multispectral imagery. In: Digital Image Computing: Techniques and Applications, Sydney, Australia, pp. 45-51.
3. Blaschke, T., 2010. Object based image analysis for rempte sensing. ISPRS Journal of Photogrammetry and Remote Sensing, 65, pp. 2-16.
4. Cha, J., Cofer, R. H., Kozaitis, S. P.,2006. Extended hough transform for linear feature detection. Pattern Recognition, 39, pp. 1034-1043.
5. Cramer, M., 2010. Evaluierung digitaler photogrammetrischer luftbilkamerasysteme. http://www.ifp.uni-stuttgart.de/dgpf/DKEP-Allg.html (9 Jan. 2012
6. Demir, N., Baltsavias, E., 2010. Combination of image and lidar data for building and tree exraction. In: IAPRS,Saint-Mandé, France, Vol. XXXVIII, Part 3B, pp. 131-136.
7. Duric, N., 2011. Object oriented classification for tree species identification and detection of Japanese knotweed. Graduation thesis-university studies.
8. Grigillo, D., Kosmatin Fras, M. And Petrovic, D., 2011. Automatic extraction and building change detection from digital surface model and multispectral orthophoto. Geodetski vestnik, 55(1), pp. 28-45.
9. Kanjir, U., Veljanovski, T., Marsetic, A., Oštir, K., 2010. Application of object based approach to heterogeneous land cover/use. In: Addink, E.A. (ed.). GEOBIA 2010 : Geographic Object-Based Image Analysis, Ghent, Belgium, 29 June-2 July.
10. Ghent, 2010. http://geobia.ugent.be/proceedings/html/papers.html.
11. Koc San, D., Turker, M., 2010. Building extraction from high resolution satellite images using Hough transform. The International Archives of Photogrammetry, Remote Sensing and Spatial Science 2010, 38 (8), pp. 1063-1068.
12. Lee, D. S., Shan, J., Bethel, J., 2003. Class-guided building extraction from IKONOS imagery. Photogrammetric Engineering and Remote Sensing, 69, pp. 143-150.
13. Li, P, Guo, J., Song, B., Xiao, X, 2011. A multilevel hierarchical image segmentation method for urban impervious surface mapping using very high resolution imagery. IEEE Journal on Selected Topics in Applied Earth Observations and Remote Sensing, 4(1), pp. 103-116.
14. Rottensteiner, F., Trinder, J., Clode, S., Kubik, K., 2005. Using the Dempster-Shafer method for the fusion of LIDAR data and multi-spectral images for building detection. Information Fusion, 6(4), pp. 283-300.
15. Rutzinger, M., Rottensteiner, F., Pfeifer, N., 2009. A comparison of evaluation techniques for building extraction from airborne laser scanning. IEEE Journal on Selected Topics in Applied Earth Observations and Remote Sensing, 2(1), pp. 11-20.
16. Van der Sande, C.J., 2010. Automatic object recognition and change detection of urban trees. The international Archives of Photogrammmetry, Remote Sensing and Spatial Information Sciences, Vol. XXXVIII-4/C7.
17. Vu, T., Yamazaki, F., Matsuoka, M., 2009. Multi-scale solution for building extraction from LiDAR and image data. International Journal of Applied Earth Observation and Geoinformation, 11(4), pp. 281-289.
18. Walton, J.T, Nowak, D.J., Greenfield, E.J., 2010. Assessing urban forest canopy cover using airborne or satellite imagery. Arboriculture & Urban Forestry, 34 (6), pp. 334-340.