Advertisement

Review on Building and Road Detection

  • Cem Ünsalan
  • Kim L. Boyer
Part of the Advances in Computer Vision and Pattern Recognition book series (ACVPR)

Abstract

In this chapter, we briefly review the literature on building and road detection. We group previous studies as follows: building detection (alone), road detection (alone), and combined building and road detection. The last group of studies exploits the mutual information between buildings and road networks to improve detection. Mayer 1999 surveyed object detection systems from aerial images, focusing on building detection. In his excellent survey, he classified building detection systems based on their complexity (in data, building model, and system strategy). Following Mayer’s format (in simplified form), we add missing and new papers published after his survey. Besides the performance measures, Shufelt and McKeown 1999 offer another survey on aerial building detection. There is another excellent survey paper by Mayer et al. 1998 on road detection in aerial images. As in the previous section, we add unreported papers in this survey following the same format (simplified). For each paper, we provide (if available) the data complexity, representation, and the resolution in meters per pixel.

Keywords

Mutual Information Road Segment Synthetic Aperture Radar Aerial Image Combine Building 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. 1.
    H. Mayer, Comput. Vis. Image Underst.74, 138 (1999) CrossRefGoogle Scholar
  2. 2.
    J.A. Shufelt, IEEE Trans. Pattern Anal. Mach. Intell.21(4), 311 (1999) CrossRefGoogle Scholar
  3. 3.
    H. Mayer, A. Baumgartner, C. Steger, inCV-Online (1998) Google Scholar
  4. 4.
    A. Huertas, R. Nevatia, Comput. Vis. Graph. Image Process.41, 131 (1988) CrossRefGoogle Scholar
  5. 5.
    R.B. Irvin, D.M. McKeown, IEEE Trans. Syst. Man Cybern.19(6), 1564 (1989) CrossRefGoogle Scholar
  6. 6.
    S. Krishnamachari, R. Chellappa, IEEE Trans. Image Process.5(1), 164 (1996) CrossRefGoogle Scholar
  7. 7.
    M.A. Maloof, P. Langley, S. Sage, T. Binford, inProceedings of the 1997 Image Understanding Workshop DARPA97 (1997), pp. 835–845 Google Scholar
  8. 8.
    A. Brunn, U. Weidner, ISPRS J. Photogramm. Remote Sens.53, 296 (1998) CrossRefGoogle Scholar
  9. 9.
    Y. Zhang, ISPRS J. Photogramm. Remote Sens.54, 50 (1999) CrossRefGoogle Scholar
  10. 10.
    T. Kim, J.P. Muller, Image Vis. Comput.17(1), 3 (1999) CrossRefGoogle Scholar
  11. 11.
    A. Stassopoulou, T. Caelli, Int. J. Pattern Recognit. Artif. Intell.14(6), 715 (2000) CrossRefGoogle Scholar
  12. 12.
    P. Gamba, B. Houshmand, M. Saccani, IEEE Trans. Geosci. Remote Sens.38(1), 611 (2000) CrossRefGoogle Scholar
  13. 13.
    S. Noronha, R. Nevatia, IEEE Trans. Pattern Anal. Mach. Intell.23(5), 501 (2001) CrossRefGoogle Scholar
  14. 14.
    M. Fradkin, H. Maitre, M. Roux, Comput. Vis. Image Underst.82, 181 (2001) MATHCrossRefGoogle Scholar
  15. 15.
    P. Krishnamoorthy, K.L. Boyer, P.J. Flynn, inProceedings of the International Conference on Pattern Recognition, vol. 1 (2002), pp. 159–163 Google Scholar
  16. 16.
    C. Jaynes, E. Riseman, A. Hanson, Comput. Vis. Image Underst.90, 68 (2003) CrossRefGoogle Scholar
  17. 17.
    J. Peng, D. Zhang, Y. Liu, Pattern Recognit. Lett.26, 587 (2005) CrossRefGoogle Scholar
  18. 18.
    A. Katartzis, H. Sahli, IEEE Trans. Geosci. Remote Sens.46(1), 259 (2008) CrossRefGoogle Scholar
  19. 19.
    K. Karantzalos, N. Paragios, IEEE Trans. Geosci. Remote Sens.47(1), 133 (2009) CrossRefGoogle Scholar
  20. 20.
    B. Sirmacek, C. Ünsalan, IEEE Trans. Geosci. Remote Sens.49(4), 1156 (2009) CrossRefGoogle Scholar
  21. 21.
    B. Sirmacek, C. Ünsalan, IEEE Trans. Geosci. Remote Sens. (2010, in press) Google Scholar
  22. 22.
    C. Lin, R. Nevatia, Comput. Vis. Image Underst.72(2), 101 (1998) CrossRefGoogle Scholar
  23. 23.
    R.T. Collins, C.O. Jaynes, Y.Q. Cheng, X. Wang, F. Stolle, E.M. Riseman, A.R. Hanson, Comput. Vis. Image Underst.72, 143 (1998) CrossRefGoogle Scholar
  24. 24.
    R. Bajcsy, M. Tavakoli, IEEE Trans. Syst. Man Cybern.6(9), 623 (1976) CrossRefGoogle Scholar
  25. 25.
    F. Wang, R. Newkirk, IEEE Trans. Geosci. Remote Sens.26(5), 525 (1988) CrossRefGoogle Scholar
  26. 26.
    R. Fiset, F. Cavayas, Int. J. Remote Sens.18(4), 991 (1997) CrossRefGoogle Scholar
  27. 27.
    N.S. Netanyahu, V. Philomin, A. Rosenfeld, A.J. Stromberg, Pattern Recognit.30(10), 1673 (1997) CrossRefGoogle Scholar
  28. 28.
    F. Tupin, H. Maitre, J.F. Mangin, J.M. Nicolas, E. Pechersky, IEEE Trans. Geosci. Remote Sens.36(2), 434 (1998) CrossRefGoogle Scholar
  29. 29.
    V. Karathanassi, C. Iossifidis, D. Rokos, Int. J. Remote Sens.20(1), 153 (1999) CrossRefGoogle Scholar
  30. 30.
    I. Laptev, H. Mayer, T. Lindeberg, W. Eckstein, C. Steger, A. Baumgartner, Mach. Vis. Appl.12, 23 (2000) CrossRefGoogle Scholar
  31. 31.
    B.K. Jeon, J.H. Jang, K.S. Hong, IEEE Trans. Geosci. Remote Sens.40(1), 22 (2002) CrossRefGoogle Scholar
  32. 32.
    W. Shi, C. Zhu, IEEE Trans. Geosci. Remote Sens.40(2), 511 (2002) CrossRefGoogle Scholar
  33. 33.
    R. Stoica, X. Descombes, J. Zerubia, Int. J. Comput. Vis.57, 121 (2004) CrossRefGoogle Scholar
  34. 34.
    J.B. Mena, J.A. Malpica, Pattern Recognit. Lett.26, 1201 (2005) CrossRefGoogle Scholar
  35. 35.
    O. Zhang, I. Couloigner, Pattern Recognit. Lett.27, 937 (2006) CrossRefGoogle Scholar
  36. 36.
    J. Hu, A. Razdan, J.C. Femiani, M. Cui, P. Wonka, IEEE Trans. Geosci. Remote Sens.45(12), 4144 (2007) CrossRefGoogle Scholar
  37. 37.
    J. Yang, R.S. Wang, Int. J. Remote Sens.28, 4653 (2007) CrossRefGoogle Scholar
  38. 38.
    T. Peng, I.H. Jermyn, V. Prinet, J. Zerubia, IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens.1, 139 (2008) CrossRefGoogle Scholar
  39. 39.
    S. Movaghati, A. Moghaddamjoo, A. Tavakoli, IEEE Trans. Geosci. Remote Sens.48(7), 2807 (2010) CrossRefGoogle Scholar
  40. 40.
    J.B. Mena, Pattern Recognit. Lett.24, 3037 (2003) CrossRefGoogle Scholar
  41. 41.
    M. Nagao, T. Matsuyama, Y. Ikeda, Comput. Vis. Graph. Image Process.10, 195 (1979) CrossRefGoogle Scholar
  42. 42.
    M. Nagao, T. Matsuyama,A Structural Analysis of Complex Aerial Photographs (Plenum, New York,, 1980) CrossRefGoogle Scholar
  43. 43.
    V.S. Hwang, L.S. Davis, T. Matsuyama, Comput. Vis. Graph. Image Process.36, 321 (1986) CrossRefGoogle Scholar

Copyright information

© Springer-Verlag London Limited 2011

Authors and Affiliations

  1. 1.Electrical and Electronics EngineeringYeditepe UniversityKayisdagiTurkey
  2. 2.Dept. Electrical, Comp. & Systems Eng.Rensselaer Polytechnic InstituteTroyUSA

Personalised recommendations