Share Email Print
cover

Proceedings Paper

The research on the shadow detection from high resolution remote sensing imagery
Author(s): Zhong Chen; Heng Zhou; Tao Deng; Song Luo
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Shadow is one of the basic characteristics in urban remote sensed imagery. It affects the extraction of object’s edge, identification of objects and registration of images, so shadow detection has a great importance in urban remote sensing. In this paper, a kind of method with HSV is proposed to detect shadow from the color high resolution remote sensing imagery mainly through a series of processing steps including twice HSV transformation, self-adaptive segmentation, morphological closing operation and little area removing. At last, the ratio of the shadow is achieved according to the shadow area statistical analysis. The experiments show that the approach can detect the shadow accurately and availably.

Paper Details

Date Published: 26 October 2013
PDF: 7 pages
Proc. SPIE 8921, MIPPR 2013: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 892103 (26 October 2013); doi: 10.1117/12.2030998
Show Author Affiliations
Zhong Chen, Huazhong Univ. of Science and Technology (China)
Heng Zhou, Huazhong Univ. of Science and Technology (China)
Tao Deng, Huazhong Univ. of Science and Technology (China)
Song Luo, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 8921:
MIPPR 2013: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications
Jinwen Tian; Jie Ma, Editor(s)

© SPIE. Terms of Use
Back to Top