18 October 2016 A novel method to detect shadows on multispectral images
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Abstract
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 C1C2C3 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.
Conference Presentation
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hazan Dağlayan Sevim, Yasemin Yardımcı Çetin, Didem Özışık Başkurt, "A novel method to detect shadows on multispectral images", Proc. SPIE 10004, Image and Signal Processing for Remote Sensing XXII, 100040A (18 October 2016); doi: 10.1117/12.2241938; https://doi.org/10.1117/12.2241938
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