Multi-spectral False Color Shadow Detection

  • Mustafa Teke
  • Emre Başeski
  • Ali Özgün Ok
  • Barış Yüksel
  • Çağlar Şenaras
Conference paper

DOI: 10.1007/978-3-642-24393-6_10

Part of the Lecture Notes in Computer Science book series (LNCS, volume 6952)
Cite this paper as:
Teke M., Başeski E., Ok A.Ö., Yüksel B., Şenaras Ç. (2011) Multi-spectral False Color Shadow Detection. In: Stilla U., Rottensteiner F., Mayer H., Jutzi B., Butenuth M. (eds) Photogrammetric Image Analysis. Lecture Notes in Computer Science, vol 6952. Springer, Berlin, Heidelberg

Abstract

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.

Keywords

Shadow detection building detection near-infrared false color 

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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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