The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part B3b. Beijing 2008
568
ACKNOWLEDGEMENTS
This project is funded by the DFG (German Research
Foundation). The calculation of the normalized cuts was made
with a C++ program partly adapted from a MATLAB program
written by Timothée Cour, Stella Yu and Jianbo Shi. Their
program can be found at http://www.seas.upenn.edu/~timothee/
software ncut/ software.html (last checked April 2008).
REFERENCES
Bâcher, U. and Mayer, H., 2005. Automatic road extraction
from multispectral high resolution satellite images. In:
International Archives of Photogrammetry and Remote Sensing,
Vol. 36, Part 3/W24, pp. 29-34.
Doucette, P., Agouris, P., Stefanidis, A. and Musavi, M., 2001.
Self-organised clustering for road extraction in classified
imagery. ISPRS Journal of Photogrammetry and Remote
Sensing, Vol. 55, No. 5-6, pp. 347-358.
Doucette, P., Agouris, P. and Stefanidis, A., 2004. Automated
road extraction from high resolution multispectral imagery.
Photogrammetric Engineering & Remote Sensing, Vol. 70, No.
12, pp. 1405-1416.
Gautama, S., D’Haeyer, J. and Philips, W., 2006. Graph-based
change detection in geographic information using VHR satellite
images. International Journal of Remote Sensing, Vol. 27, No.
9, pp. 1809-1824.
Géraud, T. and Mouret, J.B., 2004. Fast road network extraction
in satellite images using mathematical morphology and Markov
random fields. EURASIP Journal of Applied Signal Processing,
Vol. 2004, No. 16, pp. 2503-2514.
Grote, A., Butenuth, M., Heipke, C., 2007. Road extraction in
suburban areas based on normalized cuts. In: International
Archives of Photogrammetry and Remote Sensing, Vol. 36, Part
3/W49A, pp. 51-56.
Flinz, S., 2004. Automatic road extraction in urban scenes - and
beyond. In: International Archives of Photogrammetry and
Remote Sensing, Vol. 35, Part B3, pp. 349-355.
Hu, J., Razdan, A., Femiani, J.C., Cui, M. and Wonka, P., 2007.
Road network extraction and intersection detection from aerial
images by tracking road footprints. IEEE Transactions on
Geoscience and Remote Sensing, Vol. 45, No. 12, pp. 4144-
4156.
Hu, X. and Tao, V., 2007. Automatic extraction of main road
centerlines from high resolution satellite imagery using
hierarchical grouping. Photogrammetric Engineering & Remote
Sensing, Vol. 73, No. 9, pp. 1049-1056.
Press, W.H., Teukolsky, S., Vetterling, W. and Flannery, B.,
1992. Numerical Recipes in C. Cambridge University Press,
second ed., pp. 620-623.
Price, K., 1999. Road grid extraction and verification. In:
International Archives of Photogrammetry and Remote Sensing,
Vol. 32, Part 3-2W5, pp. 101-106.
Sims, F.M. and Mesev, V., 2007. Use of ancillary data in object
based classification of high resolution satellite data. In: 2007
Urban Remote Sensing Joint Event: URBAN 2007 - URS 2007,
Paris, 10 p., CD.
Shi, J. and Malik, J., 2000. Normalized cuts and image
segmentation. IEEE Transactions on Pattern Analysis and
Machine Intelligence, Vol. 22, No. 8, pp. 88.8-905.
Youn, J. and Bethel, J.S., 2004. Adaptive snakes for urban road
extraction. In: International Archives of Photogrammetry and
Remote Sensing, Vol. 35, Part B3, pp. 465-470.
Zhang, C., 2004. Towards an operational system for automated
updating of road databases by integration of imagery and
geodata. ISPRS Journal of Photogrammetry and Remote
Sensing, Vol. 58, No. 3-4, pp. 166-186.
Zhang, Q. and Couloigner, I., 2006. Automated road network
extraction from high resolution multi-spectral imagery. In:
Proceedings of ASPRS Annual Conference, Reno, Nevada, May
2006., 10 p., CD.