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 |
DOI | 10.1109/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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