Discriminant Analysis with graph learning for hyperspectral image classification | |
Chen, Mulin1; Wang, Qi1,2; Li, Xuelong3,4; Wang, Qi (crabwq@gmail.com) | |
作者部门 | 光学影像学习与分析中心 |
2018-06-01 | |
发表期刊 | Remote Sensing |
ISSN | 20724292 |
卷号 | 10期号:6 |
产权排序 | 3 |
摘要 | Linear Discriminant Analysis (LDA) is a widely-used technique for dimensionality reduction, and has been applied in many practical applications, such as hyperspectral image classification. Traditional LDA assumes that the data obeys the Gaussian distribution. However, in real-world situations, the high-dimensional data may be with various kinds of distributions, which restricts the performance of LDA. To reduce this problem, we propose the Discriminant Analysis with Graph Learning (DAGL) method in this paper. Without any assumption on the data distribution, the proposed method learns the local data relationship adaptively during the optimization. The main contributions of this research are threefold: (1) the local data manifold is captured by learning the data graph adaptively in the subspace; (2) the spatial information within the hyperspectral image is utilized with a regularization term; and (3) an efficient algorithm is designed to optimize the proposed problem with proved convergence. Experimental results on hyperspectral image datasets show that promising performance of the proposed method, and validates its superiority over the state-of-the-art. ? 2018 by the authors. |
DOI | 10.3390/rs10060836 |
收录类别 | SCI ; EI |
语种 | 英语 |
EI主题词 | 20182605375984 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.opt.ac.cn/handle/181661/30412 |
专题 | 光谱成像技术研究室 |
通讯作者 | Wang, Qi (crabwq@gmail.com) |
作者单位 | 1.School of Computer Science and Center for OPTical IMagery Analysis and Learning (OPTIMAL), Northwestern Polytechnical University, Xi'an; 710072, China 2.Unmanned System Research Institute, Northwestern Polytechnical University, Xi'an; 710072, China 3.Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an; 710119, China 4.University of Chinese Academy of Sciences, Beijing; 100049, China |
推荐引用方式 GB/T 7714 | Chen, Mulin,Wang, Qi,Li, Xuelong,et al. Discriminant Analysis with graph learning for hyperspectral image classification[J]. Remote Sensing,2018,10(6). |
APA | Chen, Mulin,Wang, Qi,Li, Xuelong,&Wang, Qi .(2018).Discriminant Analysis with graph learning for hyperspectral image classification.Remote Sensing,10(6). |
MLA | Chen, Mulin,et al."Discriminant Analysis with graph learning for hyperspectral image classification".Remote Sensing 10.6(2018). |
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文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Discriminant Analysi(394KB) | 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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