A Novel Method to Detect Shadows on Multispectral Images

Date

2016-09-28

Author

Sevim, Hazan Daglayan
Çetin, Yasemin
Baskurt, Didem Ozisik

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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Shadowing occurs when the direct light coming from a light source is obstructed by high human made structures, mountains or clouds. Since shadow regions are illuminated only by scattered light, true spectral properties of the objects are not observed in such regions. Therefore, many object classification and change detection problems utilize shadow detection as a preprocessing step. Besides, shadows are useful for obtaining 3D information of the objects such as estimating the height of buildings. With pervasiveness of remote sensing images, shadow detection is ever more important. This study aims to develop a shadow detection method on multispectral images based on the transformation of C-1 C-2 C-3 space and contribution of NIR bands. The proposed method is tested on Worldview-2 images covering Ankara, Turkey at different times. The new index is used on these 8-band multispectral images with two NIR bands. The method is compared with methods in the literature.

Subject Keywords

Multispectral Images, Worldview-2, Shadow Detection, Remote Sensing

URI

https://hdl.handle.net/11511/56340

DOI

https://doi.org/10.1117/12.2241938

Conference Name

Conference on Image and Signal Processing for Remote Sensing XXII

Collections

Graduate School of Informatics, Conference / Seminar

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Citation Formats

H. D. Sevim, Y. Çetin, and D. O. Baskurt, “A Novel Method to Detect Shadows on Multispectral Images,” Edinburgh, SCOTLAND, 2016, vol. 10004, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/56340.