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A Visual Search Inspired Computational Model for Ship Detection in Optical Satellite Images
Bi, Fukun ; Zhu, Bocheng ; Gao, Lining ; Bian, Mingming
刊名ieee geoscience and remote sensing letters
2012
关键词Appearance analysis context remote sensing image ship detection visual search FEATURES ATTENTION
DOI10.1109/LGRS.2011.2180695
英文摘要In this letter, we propose a novel computational model for automatic ship detection in optical satellite images. The model first selects salient candidate regions across entire detection scene by using a bottom-up visual attention mechanism. Then, two complementary types of top-down cues are employed to discriminate the selected ship candidates. Specifically, in addition to the detailed appearance analysis of candidates, a neighborhood similarity-based method is further exploited to characterize their local context interactions. Furthermore, the framework of our model is designed in a multiscale and hierarchical manner which provides a plausible approximation to a visual search process and reasonably distributes the computational resources. Experiments over panchromatic SPOT5 data prove the effectiveness and computational efficiency of the proposed model.; Geochemistry & Geophysics; Engineering, Electrical & Electronic; Remote Sensing; Imaging Science & Photographic Technology; SCI(E); EI; 8; ARTICLE; 4; 749-753; 9
语种英语
内容类型期刊论文
源URL[http://ir.pku.edu.cn/handle/20.500.11897/152461]  
专题信息科学技术学院
推荐引用方式
GB/T 7714
Bi, Fukun,Zhu, Bocheng,Gao, Lining,et al. A Visual Search Inspired Computational Model for Ship Detection in Optical Satellite Images[J]. ieee geoscience and remote sensing letters,2012.
APA Bi, Fukun,Zhu, Bocheng,Gao, Lining,&Bian, Mingming.(2012).A Visual Search Inspired Computational Model for Ship Detection in Optical Satellite Images.ieee geoscience and remote sensing letters.
MLA Bi, Fukun,et al."A Visual Search Inspired Computational Model for Ship Detection in Optical Satellite Images".ieee geoscience and remote sensing letters (2012).
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