Extracting salient object from remote sensing image based on guidance of visual attention - art. no. 67902W

被引：1

作者：

Xu, Gang ^{[1
]}

Huo, Hong ^{[1
]}

Fang, Tao ^{[1
]}

Li, Deren ^{[1
]}

机构：

[1] Shanghai Jiao Tong Univ, Inst Image Proc & Pattern Recognit 2 224, Shanghai 200240, Peoples R China

来源：

REMOTE SENSING AND GIS DATA PROCESSING AND APPLICATIONS; AND INNOVATIVE MULTISPECTRAL TECHNOLOGY AND APPLICATIONS, PTS 1 AND 2 | 2007年 / 6790卷

关键词：

salient object; attention; remote sensing;

D O I：

10.1117/12.751112

中图分类号：

TP7 [遥感技术];

学科分类号：

081102 ; 0816 ; 081602 ; 083002 ; 1404 ;

摘要：

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.

引用

页码：W7902 / W7902

页数：6

共 8 条

[1] The representation of visual salience in monkey parietal cortex [J].