An Object-Oriented Shadow Detection Approach of Remote Sensing Image

Abstract:

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Shadows widely exist in high-resolution remote sensing images and affect image interpretation in certain degree. Improving the accuracy and efficiency of shadow region detection is always a significant problem in remote sensing image processing field. In this paper, an object-oriented shadow detection approach of remote sensing image is proposed on the basis of analyzing the characteristics of the shadow object. Experimental results indicate the efficiency and validity of our object-oriented approach for shadow detection compared with conventional pixel-level methods.

Info:

Periodical:

Key Engineering Materials (Volumes 474-476)

Edited by:

Garry Zhu

Pages:

1038-1043

DOI:

10.4028/www.scientific.net/KEM.474-476.1038

Citation:

X. L. Shen et al., "An Object-Oriented Shadow Detection Approach of Remote Sensing Image", Key Engineering Materials, Vols. 474-476, pp. 1038-1043, 2011

Online since:

April 2011

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Price:

$35.00

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