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Proceedings Paper

Practical method of shadow detection and removal for high spatial resolution remote sensing image
Author(s): Ru Li; Bing Zhang; Xia Zhang; Zhengchao Chen; Zheng Wei; Lanfen Zheng
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Paper Abstract

High spatial resolution remote sensing image (HSRRSI) has received a warm welcome in many fields. However, building shadows of large area on HSRRSI (up to 30% in some cases) are one of the biggest hindrances for further applications in many fields. To keep a balance between precision and efficiency required by applications during shadow removal, this paper introduces a creative and practical strategy based on the theory of the pulse coupled neural network (PCNN). By applying the simplified model of PCNN, shadows on HSRRSI had been detected and removed respectively. When applied to HSRRSI, the method could not only remove the shadows, but also keep the contrast between removed areas with shadows and other areas without shadows from being too big, which might distort the image. Therefore the satisfactory result is gained.

Paper Details

Date Published: 14 November 2007
PDF: 8 pages
Proc. SPIE 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications, 67900Q (14 November 2007); doi: 10.1117/12.746579
Show Author Affiliations
Ru Li, Institute of Remote Sensing Applications (China)
Graduate School of the Chinese Academy of Sciences (China)
Bing Zhang, Institute of Remote Sensing Applications (China)
Xia Zhang, Institute of Remote Sensing Applications (China)
Zhengchao Chen, Institute of Remote Sensing Applications (China)
Zheng Wei, Beijing Univ. (China)
Lanfen Zheng, Institute of Remote Sensing Applications (China)


Published in SPIE Proceedings Vol. 6790:
MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications

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