Abstract
Road extraction research has always been an active research on automatic identification of remote sensing images. With the availability of high spatial resolution images from new generation commercial sensors, how to extract roads quickly, accurately and automatically has been a cutting-edge problem in remote sensing related fields. In this paper, we present a novel road extraction approach which uses a scale space segmentation and two measures of the shape index to filter all regions from the result of the segmentation. The approach makes full use of spectral and geometric properties of roads in the imagery, and proposes a new algorithm named “Road Segments joint Algorithm” to ensure the continuity of roads.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Mayer, H., Reznik, S.: MCMC linked with implicit shape models and plane sweeping for 3D building façade interpretation in image sequences. In: International Archives of Photogrammetry and Remote Sensing, vol. XXXVI(3), pp. 130–135 (2006)
Vincken, K.: Probabilistic Multi-Scale Image Segmentation by the Hyperstack, Ph.D. thesis, Utrecht University (1995)
Lindeberg, T.: Scale-Space Theory in Computer Vision. Kluwer Academic Publishers, Dordrecht (1994)
Price, K.: Road grid extraction and verification. In: International Archives of Photogrammetry and Remote Sensing, part 3-2W5, vol. 32, pp. 101–106 (1999)
Quam, L.H.: Road Tracking and Anomaly Detection. In: DARPA Image Understanding Workshop, May 1978, pp. 51–55 (1978)
Nevatia, R., Babu, K.R.: Linear feature extraction. In: DARPA’78, pp. 73–78 (1978)
Bolles, R.C., Quam, L.H., Fischler, M.A., Wolf, H.C.: Automatic determination of image to database correspondence. In: IJCAI’79, pp. 73–78 (1979)
Fischler, M.A., Tenenbaum, J.M., Wolf, H.C.: Detection of roads and linear structures in low- resolution aerial imagery using a multisource knowledge integration technique. In: CGIP, March 1981, vol. 15(3), pp. 201–223 (1981)
Gong, P., Li, X., Xu, B.: Interpretation Theory and Application Method Development for Information Extraction from High Resolution Remotely Sensed Data. Journal of remote sensing 10(1), 1–5 (2006)
Shi, W.Z., Zhu, C.C., Wang, Y.: Road Feature Extraction from Remotely Sensed Image: Review and Prospects. Acta geodaetica et cartographica sinica 30(3) (2001)
Mena, J.B.: State of the art on automatic road extraction for GIS update: a novel classification. Pattern Recognition Letters 24, 3037–3058 (2003)
Gruen, A., Li, H.: Road Extraction from Aerial and Satellite Images by Dynamic Programming. ISPRS Journal of Photogrammetry and Remote Sensing 50(4), 11–20 (1995)
Trinder, J.C.: Semi-automatic Feature Extraction by Snakes. In: Automatic Extraction of Manmade Objects from Aerial and Space Images, Birkhacuser Verlag, Basel (1995)
Merlet, N., Zérubia, J.: New prospects in line detection by dynamic programming. IEEE Transactions on Pattern Analysis and Machine Intelligence 18(4)
Bhattacharya, U., Parui, S.K.: An improved back propagation neural network for detection of road-like features in satellite imagery. International Journal of Remote Sensing 18(16), 3379–3394 (1997)
Baumgartner, A., Steger, C., Mayer, H., Eckstein, W., Heinrich, E.: Automatic road extraction based on multiscale, grouping, and context. Photogrammetric Engineering and Remote Sensing 65(7), 777–785 (1999)
Couloigner, I., Ranchin, T.: Mapping of urban areas: A multiresolution modeling approach for semiautomatic extraction of streets. Photogrammetric Engineering and Remote Sensing 66(7), 867–874 (2000)
Zhu, C.Q., Wang, Y.G., Ma, Q.H.: Road Extraction from High-resolution Remotely Sensed Image Based on Morphological Segmentation. Acta geodaetica et cartographica sinica 33(4), 347–351 (2004)
An, R., Feng, X.Z., Wang, H.L.: Road Feature Extraction form Remote Sensing Classified Imagery Based on Mathematical Morphology and Analysis of Road Networks. Journal of Image and Graphic 8(7), 798–804 (2003)
Lindeberg, T.: Scale-space for discrete signals. IEEE Transactions on Pattern Analysis and Machine Intelligence 12 (March 1990)
Lifshitz, L.M., Pizer, S.M.: A multi-resolution hierarchical approach to image segmentation based on intensity extrema. IEEE Transactions on Pattern Analysis and Machine Intelligence 12(6) (June 1990)
Henkel, R.D.: Segmentation with synchronising neural oscillators. Tech. Rep., Zentrum fr Kognitionswissenschaften, Universitt auf Bremen (1994)
Henkel, R.D.: Segmentation in scale-space. In: Hlaváč, V., Šára, R. (eds.) CAIP 1995. LNCS, vol. 970. Springer, Heidelberg (1995)
Florack, L.M., ter Haar Romeny, B.M., Koenderink, J.J., Viergever, M.A.: Linear scale-space. Journal of Mathematical Imaging and Vision 4 (1994)
Lindeberg, T., Eklundh, J.O.: Scale detection and region extraction from a scale-space primal sketch. In: Third International Conference on Computer Vision (1990)
Zhang, Q., Couloigner, I.: Automated Road Network Extraction from High Resolution Multi-Spectral Imagery. In: ASPRS 2006 Annual Conference, Reno, Nevada (2006a)
Youn, J., Bethel, J.S.: Adaptive snakes for urban road extraction. In: International Archives of Photogrammetry and Remote Sensing, part B3, vol. 35, pp. 465–470 (2004)
Hinz, S.: Automatic road extraction in urban scenes and beyond. In: International Archives of Photogrammetry and Remote Sensing, part B3, vol. 35, pp. 349–355 (2004)
Borgefors, G.: Distance Transforms in Digital Images. Computer Vision, Graphics and Image Processing 34, 344–371 (1986)
Chiang, J.Y., Tue, S.C., Leu, Y.C.: A New Algorithm for Line Image Vectorization. Pattern Recognition 31(10), 1541–1549 (1998)
di Baja, G.S.: Well-Shaped, Stable, and Reversible Skeletons from the (3,4)-Distance Transform. Journal of VisualCommunication and Image Representation (1994)
Lam, L., Lee, S.-W., Suen, C.Y.: Thinning Methodologies A Comprehensive Survey. IEEE Transactions on PAMI 14(9), 869–885 (1992)
Niblack, C.W., Gibbons, P.B., Capson, D.W.: Generating Skeletons and Centerlines from the Distance Transform. CVGIP: Graphical Models and Image Processing 54(5), 420–437 (1992)
Korting, T.S., Fonseca, L.M.G., Dutra, L.V., Silva, F.C.: Image Re-Segmentation – A New Approach Applied to Urban Imagery, pp. 467–472 (2008)
Naouai, M., Hamouda, A., Weber, C.: Detection of road in a high resolution image using a multicriteria directional. In: IADIS Computer Graphics, Visualization, Computer Vision and Image Processing (CGVCVIP) 2009 conference, Algarve, Portugal, June 20–22 (2009)
Naouai, M.: Atef Hamouda et Christiane Weber, Extraction de route dans une image à très haute résolution spatiale, Taima’09, Mai 4-9, Hammamet Tunisie (2009)
Rosin, P.L.: Measuring rectangularity. Mach. Vis. Appl. 11(4) (December 1999)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Naouai, M., Hamouda, A., Weber, C. (2010). Urban Road Extraction from High-Resolution Optical Satellite Images. In: Campilho, A., Kamel, M. (eds) Image Analysis and Recognition. ICIAR 2010. Lecture Notes in Computer Science, vol 6112. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13775-4_42
Download citation
DOI: https://doi.org/10.1007/978-3-642-13775-4_42
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-13774-7
Online ISBN: 978-3-642-13775-4
eBook Packages: Computer ScienceComputer Science (R0)