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Published Articles >> Table of Contents >> Abstract
Computer Graphics, Imaging and Visualisation (CGIV 2007)
pp. 397-402
A Novel Approach for Change Detection in Remote Sensing Image Based on Saliency Map
Minghui Tian, University of Science and Technology of China
Shouhong Wan, University of Science and Technology of China
Lihua Yue, University of Science and Technology of China
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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CGIV.2007.11
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| Abstract |
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Detecting change of remote sensing images is very
important for some applications such as tracking of
moving objects and motion estimation. Traditional
work on change detection has largely been based on
segmentation approaches of a single feature. It
excessively depends on the threshold of the single
feature to determine whether the change of spectral
information is caused by the change of object. The
results of traditional change detection approaches can
easily be affected by noise, blur, contrast level and
brightness level. To overcome the deficiency, we
improve the Itti visual saliency model and propose an
effective and robust approach based on saliency map
to detect real changed regions between two remote
sensing images of a given scene acquired at different
times. The results of the experiments indicate that our
approach is very robust to noise, contrast level and
brightness level.
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 Additional Information
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Index Terms- Change detection, Remote sensing
image, Saliency map, Visual saliency model.
Citation:
Minghui Tian, Shouhong Wan, Lihua Yue,
"A Novel Approach for Change Detection in Remote Sensing Image Based on Saliency Map,"
cgiv,
pp. 397-402,
Computer Graphics, Imaging and Visualisation (CGIV 2007),
2007
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