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Mathematical Problems in Engineering - Volume 2015 2015, Article ID 404095, 11 pages -

Research Article

School of Software Engineering, Anyang Normal University, Anyang 455000, China

School of Computer and Information Engineering, Anyang Normal University, Anyang 455000, China

Received 24 October 2014; Revised 6 March 2015; Accepted 23 March 2015

Academic Editor: Chih-Cheng Hung

Copyright © 2015 Pengwei Li and Wenying Ge. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Shadows limit many remote sensing applications such as classification, target detection, and change detection. Most current shadow detection methods utilize the histogram threshold of spectral characteristics to distinguish the shadows and nonshadows directly, called -hard binary shadow.- Obviously, the performance of threshold-based methods heavily rely on the selected threshold. Simultaneously, these threshold-based methods do not take any spatial information into account. To overcome these shortcomings, a soft shadow description method is developed by introducing the concept of opacity into shadow detection, and MRF-based shadow detection method is proposed in order to make use of neighborhood information. Experiments on remote sensing images have shown that the proposed method can obtain more accurate detection results.





Autor: Pengwei Li and Wenying Ge

Fuente: https://www.hindawi.com/



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