Share Email Print
cover

Proceedings Paper

Saliency-based artificial object detection for satellite images
Author(s): Shidong Ke; Xiaoying Ding; Daiqin Yang; Zhenzhong Chen; Yuming Fang
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

In this paper, we introduce a computational model of top-down saliency based on multiscale orientation information for artificial object detection for satellite images. Further more, the top-down saliency is integrated with bottom-up saliency to obtain the saliency map in satellite images. We compare our method to several state-of-the-art saliency detection models and demonstrate the superior performance in artificial object detection for satellite images.

Paper Details

Date Published: 4 March 2015
PDF: 6 pages
Proc. SPIE 9410, Visual Information Processing and Communication VI, 94100J (4 March 2015); doi: 10.1117/12.2083329
Show Author Affiliations
Shidong Ke, Wuhan Univ. (China)
Xiaoying Ding, Wuhan Univ. (China)
Daiqin Yang, Wuhan Univ. (China)
Zhenzhong Chen, Wuhan Univ. (China)
Yuming Fang, Jiangxi Univ. of Finance and Economics (China)


Published in SPIE Proceedings Vol. 9410:
Visual Information Processing and Communication VI
Amir Said; Onur G. Guleryuz; Robert L. Stevenson, Editor(s)

© SPIE. Terms of Use
Back to Top