Salient Band Selection for Hyperspectral Image Classification via Manifold Ranking | |
Wang, Qi1; Lin, Jianzhe2; Yuan, Yuan2 | |
作者部门 | 光学影像学习与分析中心 |
2016-06 | |
发表期刊 | IEEE Transactions on Neural Networks and Learning Systems |
ISSN | 2162237X |
卷号 | 27期号:6页码:1279-1289 |
产权排序 | 2 |
摘要 | Saliency detection has been a hot topic in recent years, and many efforts have been devoted in this area. Unfortunately, the results of saliency detection can hardly be utilized in general applications. The primary reason, we think, is unspecific definition of salient objects, which makes that the previously published methods cannot extend to practical applications. To solve this problem, we claim that saliency should be defined in a context and the salient band selection in hyperspectral image (HSI) is introduced as an example. Unfortunately, the traditional salient band selection methods suffer from the problem of inappropriate measurement of band difference. To tackle this problem, we propose to eliminate the drawbacks of traditional salient band selection methods by manifold ranking. It puts the band vectors in the more accurate manifold space and treats the saliency problem from a novel ranking perspective, which is considered to be the main contributions of this paper. To justify the effectiveness of the proposed method, experiments are conducted on three HSIs, and our method is compared with the six existing competitors. Results show that the proposed method is very effective and can achieve the best performance among the competitors. © 2012 IEEE. |
关键词 | Image Classification Spectroscopy Vector Spaces |
DOI | 10.1109/TNNLS.2015.2477537 |
收录类别 | EI |
语种 | 英语 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.opt.ac.cn/handle/181661/28252 |
专题 | 光谱成像技术研究室 |
作者单位 | 1.School of Computer Science, Center Magery Analysis and Learning, Northwestern Polytechnical University, Xian; 710072, China 2.Center for Optical Imagery Analysis and Learning, State Key Laboratory of Transient Optics and Photonics, Chinese Academy of Sciences, Xian; 710119, China |
推荐引用方式 GB/T 7714 | Wang, Qi,Lin, Jianzhe,Yuan, Yuan. Salient Band Selection for Hyperspectral Image Classification via Manifold Ranking[J]. IEEE Transactions on Neural Networks and Learning Systems,2016,27(6):1279-1289. |
APA | Wang, Qi,Lin, Jianzhe,&Yuan, Yuan.(2016).Salient Band Selection for Hyperspectral Image Classification via Manifold Ranking.IEEE Transactions on Neural Networks and Learning Systems,27(6),1279-1289. |
MLA | Wang, Qi,et al."Salient Band Selection for Hyperspectral Image Classification via Manifold Ranking".IEEE Transactions on Neural Networks and Learning Systems 27.6(2016):1279-1289. |
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Salient Band Selecti(2168KB) | 期刊论文 | 作者接受稿 | 限制开放 | CC BY-NC-SA | 请求全文 |
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