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Proceedings Paper

Extracting salient object from remote sensing image based on guidance of visual attention
Author(s): Gang Xu; Hong Huo; Tao Fang; Deren Li
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Paper Abstract

In this paper we use human visual attention mechanism to extract salient objects from remote sensing image. Different from previous methods, this method just uses bottom-up features of the input image to compute saliency map. From the saliency map we get the information about the salient object area. Guided by the saliency map, we can extract salient object from remote image. We apply this method to remote sensing image, and the experiment shows this method gets satisfying result.

Paper Details

Date Published: 14 November 2007
PDF: 6 pages
Proc. SPIE 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications, 67902W (14 November 2007); doi: 10.1117/12.751112
Show Author Affiliations
Gang Xu, Shanghai Jiao Tong Univ. (China)
Hong Huo, Shanghai Jiao Tong Univ. (China)
Tao Fang, Shanghai Jiao Tong Univ. (China)
Deren Li, Shanghai Jiao Tong Univ. (China)


Published in SPIE Proceedings Vol. 6790:
MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications

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