Paper Title:
An Object-Oriented Shadow Detection Approach of Remote Sensing Image
  Abstract

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, Z. F. Shao, H. Luo, W. Cheng, "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
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