CMRT09

Stilla, Uwe

Bibliographic data

Monograph

Persistent identifier:: 856955019

Author:: Stilla, Uwe

Title:: CMRT09

Sub title:: object extraction for 3D city models, road databases, and traffic monitoring ; concepts, algorithms and evaluation ; Paris, France, September 3 - 4, 2009 ; [joint conference of ISPRS working groups III/4 and III/5]

Scope:: X, 234 Seiten

Year of publication:: 2009

Place of publication:: Lemmer

Publisher of the original:: GITC

Identifier (digital):: 856955019

Illustration:: Illustrationen, Diagramme, Karten

Language:: English

Usage licence:: Attribution 4.0 International (CC BY 4.0)

Publisher of the digital copy:: Technische Informationsbibliothek Hannover

Place of publication of the digital copy:: Hannover

Year of publication of the original:: 2016

Document type:: Monograph

Collection:: Earth sciences

Chapter

Title:: ASSESSING THE IMPACT OF DIGITAL SURFACE MODELS ON ROAD EXTRACTION IN SUBURBAN AREAS BY REGION-BASED ROAD SUBGRAPH EXTRACTION Anne Grote, Franz Rottensteiner

Document type:: Monograph

Structure type:: Chapter

In: Stilla U, Rottensteiner F, Paparoditis N (Eds) CMRT09. IAPRS, Vol. XXXVIII, Part 3/W4 — Paris, France, 3-4 September, 2009 interrelations described in this paper. Context objects can also be beneficial in the next steps, which include the formation of a road network by searching for junction hypotheses between road strings and removing isolated (mainly falsely extracted) road parts. The completeness and correctness values given in this paper where obtained from the single road parts. They are likely to improve during the network generation because the majority of falsely extracted road parts can be removed and the gaps between road parts in a string can also be counted as road. ACKNOWLEDGEMENTS This project is funded by the DFG (German Research Foundation) under grant HE 1822/21-1. 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 www.seas.upenn.edu/~timothee/software_ncut/software.html (accessed March 2009). The calculation of the linear program was made with the MILP solver lpsolve (lpsolve.sourceforge.net/5.5/, accessed March 2009). REFERENCES Dantzig, G.B., 1963. Linear programming and extensions. Princeton University Press, Princeton, New Jersey, USA. Doucette, P., Agouris, P. and Stefanidis, A., 2004. Automated road extraction from high resolution multispectral imagery. PE&RS 70(12), pp. 1405-1416. Grote, A., Butenuth, M. and Heipke, C., 2007. Road extraction in suburban areas based on normalized cuts. In: IAPRSIS XXXVI-3/W49A, pp. 51-56. Grote, A. and Heipke, C., 2008. Road extraction for the update of road databases in suburban areas. In: IAPRSIS XXXVII-B3b, pp. 563-568. Heipke, C., Mayer, H., Wiedemann, C. and Jamet, O., 1997. Evaluation of automatic road extraction. In: IAPRS XXXII- 3/2W3, pp. 47-56. Hinz, S., 2004. Automatic road extraction in urban scenes - and beyond. In: IAPRSIS XXXV-B3, pp. 349-355. Hirschmüller, H., 2008. Stereo processing by semi-global matching and mutual information. IEEE TP AMI 30(2), pp. 328- 341. 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 TGRS 45(12), pp. 4144-4157. Hu, X., Tao, C.V. and Hu, Y., 2004. Automatic road extraction from dense urban area by integrated processing of high resolution imagery and LIDAR data. In: IAPRSIS XXXV-B3, pp. 288-292. Mayer, H., Hinz, S., Bacher, U., and Baltsavias, E., 2006. A test of automatic road extraction approaches. In: IAPRSIS XXXVI- 3, pp. 209-214. Mena, J.B. and Malpica, J.A., 2005. An automatic method for road extraction in rural and semi-urban areas starting from high- resolution satellite imagery. Pattern Recognition Letters 26(9), pp. 1201-1220. Pierrot-Deseilligny, M. and Paparoditis, N., 2006. A multiresolution and optimization-based image matching approach: an application to surface reconstruction from SPOT- HRS stereo imagery. In: IAPRSIS XXXVI- 1/W41, pp. 73-77. Price, K., 1999. Road grid extraction and verification. In: 74/>/?SXXXII- 3/2W5, pp. 101-106. Shi, J. and Malik, J., 2000. Normalized cuts and image segmentation. IEEE TPAMI. 22(8), pp. 888-905. Weidner, U. and Forstner, W. 1995. Towards automatic building reconstruction from high resolution digital elevation models. ISPRS J. Photogr. & Rem. Sens. 50(4), pp. 38-49. Youn, J. and Bethel, J.S., 2004. Adaptive snakes for urban road extraction. In: IAPRSIS XXXV-B3, pp. 465-470. Zhang, C., 2004. Towards an operational system for automated updating of road databases by integration of imagery and geodata. ISPRS J. Photogr. & Rem. Sens. 58(3-4), pp. 166-186. Zhang, Q. and Couloigner, I., 2006. Automated road network extraction from high resolution multi-spectral imagery. In: Proc. ASPRS Annual Conf, Reno, Nevada, 10 p., on CD-ROM.

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