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Proceedings Paper

Automatic aerial image shadow detection through the hybrid analysis of RGB and HIS color space
Author(s): Jun Wu; Huilin Li; Zhiyong Peng
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Paper Abstract

This paper presents our research on automatic shadow detection from high-resolution aerial image through the hybrid analysis of RGB and HIS color space. To this end, the spectral characteristics of shadow are firstly discussed and three kinds of spectral components including the difference between normalized blue and normalized red component - BR, intensity and saturation components are selected as criterions to obtain initial segmentation of shadow region (called primary segmentation). After that, within the normalized RGB color space and HIS color space, the shadow region is extracted again (called auxiliary segmentation) using the OTSU operation, respectively. Finally, the primary segmentation and auxiliary segmentation are combined through a logical AND-connection operation to obtain reliable shadow region. In this step, small shadow areas are removed from combined shadow region and morphological algorithms are apply to fill small holes as well. The experimental results show that the proposed approach can effectively detect the shadow region from high-resolution aerial image and in high degree of automaton.

Paper Details

Date Published: 14 December 2015
PDF: 6 pages
Proc. SPIE 9815, MIPPR 2015: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 981506 (14 December 2015); doi: 10.1117/12.2205847
Show Author Affiliations
Jun Wu, Guilin Univ. of Electronic Technology (China)
Huilin Li, Guilin Univ. of Electronic Technology (China)
Zhiyong Peng, Guilin Univ. of Electronic Technology (China)
Guangxi Experiment Ctr. of Information Science (China)
Guangxi Key Lab. of Automatic Detecting Technology and Instruments (China)


Published in SPIE Proceedings Vol. 9815:
MIPPR 2015: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications
Jianguo Liu; Hong Sun, Editor(s)

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