Extracting salient object from remote sensing image based on guidance of visual attention

Gang Xu; Hong Huo; Tao Fang; Deren Li

doi:10.1117/12.751112

14 November 2007 Extracting salient object from remote sensing image based on guidance of visual attention

Gang Xu, Hong Huo, Tao Fang, Deren Li

Proceedings Volume 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications; 67902W (2007) https://doi.org/10.1117/12.751112
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

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.

Citation Download Citation

Gang Xu, Hong Huo, Tao Fang, and Deren Li "Extracting salient object from remote sensing image based on guidance of visual attention", Proc. SPIE 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications, 67902W (14 November 2007); https://doi.org/10.1117/12.751112

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