Multi-spectral False Color Shadow Detection

  • Mustafa Teke
  • Emre Başeski
  • Ali Özgün Ok
  • Barış Yüksel
  • Çağlar Şenaras
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6952)


With the availability of high-resolution commercial satellite images, automated analysis and object extraction became even a more important topic in remote sensing. As shadows cover a significant portion of an image, they play an important role on automated analysis. While they degrade performance of applications such as image registration, shadow is an important cue for information such as man-made structures. In this article, a shadow detection algorithm that makes use of near-infrared information in combination with RGB bands is introduced. The algorithm is applied on an application for automated building detection.


Shadow detection building detection near-infrared false color 


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  1. [Akcay and Aksoy(2010)]
    Akcay, H., Aksoy, S.: Building detection using directional spatial constraints. In: IGARSS, pp. 1932–1935 (2010)Google Scholar
  2. [Baltsavias et al.(2001)Baltsavias, Gruen, and Van Gool]
    Baltsavias, E.P., Gruen, A., Van Gool, L.: Automatic Extraction of Man-Made Objects from Aerial and Space Images (III). Balkema (2001)Google Scholar
  3. [Chung et al.(2009)Chung, Lin, and Huang]
    Chung, K.L., Lin, Y.R., Huang, Y.H.: Efficient shadow detection of color aerial images based on successive thresholding scheme. IEEE Transactions on Geoscience and Remote Sensing 47(2), 671–682 (2009)CrossRefGoogle Scholar
  4. [Cinbis and Aksoy(2007)]
    Cinbis, R.G., Aksoy, S.: Modeling spatial relationships in images. Tech. Rep. BU-CE-0702, Department of Computer Engineering, Bilkent University, Ankara, Turkey (2007)Google Scholar
  5. [Fredembach and Süsstrunk(2010)]
    Fredembach, C., Süsstrunk, S.: Automatic and accurate shadow detection from (potentially) a single image using near-infrared information. IEEE Transactions on Pattern Analysis and Machine Intelligence (2010)Google Scholar
  6. [Gruen et al.(1998)Gruen, Baltsavias, and Henricsson]
    Gruen, A., Baltsavias, E.P., Henricsson, O.: Automatic Extraction of Man-Made Objects from Aerial and Space Images (II). Birkhauser, Boston (1998)MATHGoogle Scholar
  7. [Gruen et al.(1995)Gruen, Kubler, and Agouris]
    Gruen, A., Kubler, O., Agouris, P.: Automatic Extraction of Man-Made Objects from Aerial and Space Images. Birkhauser, Boston (1995)CrossRefMATHGoogle Scholar
  8. [Huertas and Nevatia(1988)]
    Huertas, A., Nevatia, R.: Detecting buildings in aerial images. Comput. Vision Graph. Image Process. 41(2), 131–152 (1988)CrossRefGoogle Scholar
  9. [Irvin and McKeown(1989)]
    Irvin, R., McKeown, D.M.: Methods for exploiting the relationship between buildings and their shadows in aerial imagery. IEEE Transactions on Systems, Man and Cybernetics 19(6), 1564–1575 (1989)CrossRefGoogle Scholar
  10. [Mayer(1999)]
    Mayer, H.: Automatic object extraction from aerial imagery–a survey focusing on buildings. Computer Vision and Image Understanding 74(2), 138–149 (1999)CrossRefGoogle Scholar
  11. [Otsu(1979)]
    Otsu, N.: A threshold selection method from gray-level histograms. IEEE Transactions on Systems, Man and Cybernetics 9(1), 62–66 (1979)CrossRefGoogle Scholar
  12. [Polidorio et al.(2003)Polidorio, Flores, Imai, Tommaselli, and Franco]
    Polidorio, A.M., Flores, F.C., Imai, N.N., Tommaselli, A.M.G., Franco, C.: Automatic shadow segmentation in aerial color images. In: Proc. XVI Brazilian Symp. Computer Graphics and Image Processing, pp. 270–277 (2003)Google Scholar
  13. [Reda and Andreas(2007)]
    Reda, I., Andreas, A.: Solar position algorithm for solar radiation application. Tech. Rep. NREL/TP-560-34302, National Renewable Energy Laboratory, NREL (2007)Google Scholar
  14. [Rees(1993)]
    Rees, W.G.: Physical Principles of Remote Sensing (1993)Google Scholar
  15. [Sarabandi et al.(2004)Sarabandi, Yamazaki, Matsuoka, and Kiremidjian]
    Sarabandi, P., Yamazaki, F., Matsuoka, M., Kiremidjian, A.: Shadow detection and radiometric restoration in satellite high resoluiton images. In: Proceedings of IEEE International on IGARES 2004, Anchorage, AK, vol. 6, pp. 3744–3747 (2004)Google Scholar
  16. [Sirmacek and Unsalan(2008)]
    Sirmacek, B., Unsalan, C.: Building detection from aerial images using invariant color features and shadow information. In: Proceedings of the 23rd International Symposium on Computer and Information Sciences, ISCIS 2008, pp. 1–5. IEEE, Los Alamitos (2008)Google Scholar
  17. [Tsai(2006)]
    Tsai, V.: A comparative study on shadow compensation of color aerial images in invariant color models. IEEE Transactions on Geoscience and Remote Sensing 44(6), 1661–1671 (2006)CrossRefGoogle Scholar
  18. [Tucker(1979)]
    Tucker, C.J.: Red and photographic infrared linear combinations for monitoring vegetation. Remote Sensing of Environment 8(2), 127–150 (1979)CrossRefGoogle Scholar
  19. [Unsalan and Boyer(2005)]
    Unsalan, C., Boyer, K.: A system to detect houses and residential street networks in multispectral satellite images. Computer Vision and Image Understanding 98(3), 423–461 (2005)CrossRefGoogle Scholar
  20. [Zhang et al.(1999)Zhang, Tsai, Cryer, and Shah]
    Zhang, R., Tsai, P., Cryer, J., Shah, M.: Shape from shading: A survey, vol. 21(8), pp. 690–706 (August 1999)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Mustafa Teke
    • 1
  • Emre Başeski
    • 1
  • Ali Özgün Ok
    • 2
  • Barış Yüksel
    • 1
  • Çağlar Şenaras
    • 1
  1. 1.HAVELSAN A.Ş.AnkaraTurkey
  2. 2.Department of Geodetic and Geographic Information TechnologiesMiddle East Technical UniversityAnkaraTurkey

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