Paper
4 March 2015 Saliency-based artificial object detection for satellite images
Shidong Ke, Xiaoying Ding, Daiqin Yang, Zhenzhong Chen, Yuming Fang
Author Affiliations +
Proceedings Volume 9410, Visual Information Processing and Communication VI; 94100J (2015) https://doi.org/10.1117/12.2083329
Event: SPIE/IS&T Electronic Imaging, 2015, San Francisco, California, United States
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.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Shidong Ke, Xiaoying Ding, Daiqin Yang, Zhenzhong Chen, and Yuming Fang "Saliency-based artificial object detection for satellite images", Proc. SPIE 9410, Visual Information Processing and Communication VI, 94100J (4 March 2015); https://doi.org/10.1117/12.2083329
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Earth observing sensors

Satellite imaging

Satellites

Visualization

Visual process modeling

Gaussian filters

Performance modeling

Back to Top