OPT OpenIR  > 光谱成像技术研究室
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
ISSN2162237X
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
DOI10.1109/TNNLS.2015.2477537
收录类别EI
语种英语
引用统计
被引频次:305[WOS]   [WOS记录]     [WOS相关记录]
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
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Wang, Qi]的文章
[Lin, Jianzhe]的文章
[Yuan, Yuan]的文章
百度学术
百度学术中相似的文章
[Wang, Qi]的文章
[Lin, Jianzhe]的文章
[Yuan, Yuan]的文章
必应学术
必应学术中相似的文章
[Wang, Qi]的文章
[Lin, Jianzhe]的文章
[Yuan, Yuan]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。