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4 March 2015 Saliency-based artificial object detection for satellite images
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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.
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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
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