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.
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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. PIA 2011. Lecture Notes in Computer Science, vol 6952. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24393-6_10
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DOI: https://doi.org/10.1007/978-3-642-24393-6_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-24392-9
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