Knowledge Management System Of South China Sea Institute of Oceanology,CAS
| Learning Discriminative Sparse Representations for Hyperspectral Image Classification | |
| Du, Peijun; Xue, Zhaohui; Li, Jun; Plaza, Antonio; xzh2012@163.com | |
| 2015 | |
| 发表期刊 | IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING
 |
| 卷号 | 9期号:6页码:1089-1104 |
| 文章类型 | 1932-4553 |
| 摘要 | In sparse representation (SR) driven hyperspectral image classification, signal-to-reconstruction rule-based classification may lack generalization performance. In order to overcome this limitation, we presents a new method for discriminative sparse representation of hyperspectral data by learning a reconstructive dictionary and a discriminative classifier in a SR model regularized with total variation (TV). The proposed method features the following components. First, we adopt a spectral unmixing by variable splitting augmented Lagrangian and TV method to guarantee the spatial homogeneity of sparse representations. Second, we embed dictionary learning in the method to enhance the representative power of sparse representations via gradient descent in a class-wise manner. Finally, we adopt a sparse multinomial logistic regression (SMLR) model and design a class-oriented optimization strategy to obtain a powerful classifier, which improves the performance of the learnt model for specific classes. The first two components are beneficial to produce discriminative sparse representations. Whereas, adopting SMLR allows for effectively modeling the discriminative information. Experimental results with both simulated and real hyperspectral data sets in a number of experimental comparisons with other related approaches demonstrate the superiority of the proposed method. |
| 部门归属 | [Du, Peijun; Xue, Zhaohui] Nanjing Univ, Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Jiangsu Prov Key Lab Geog Informat Sci & Technol, Key Lab Satellite Mapping Technol & Applicat,Natl, Nanjing 210023, Jiangsu, Peoples R China; [Du, Peijun; Xue, Zhaohui] Nanjing Univ, Collaborat Innovat Ctr South China Sea Studies, Nanjing 210023, Jiangsu, Peoples R China; [Li, Jun] Sun Yat Sen Univ, Sch Geog & Planning, Guangdong Prov Key Lab Urbanizat & Geosimulat, Guangzhou 510275, Guangdong, Peoples R China; [Plaza, Antonio] Univ Extremadura, Escuela Politecn, Dept Technol Comp & Commun, Hyperspectral Comp Lab, Caceres 10071, Spain ; LTO |
| 关键词 | Hyperspectral Image Classification Discriminative Sparse Representation (Dsr) Total Variation (Tv) Dictionary Learning Sparse Multinomial Logistic Regression (Smlr) |
| 学科领域 | Engineering |
| 收录类别 | SCI |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://ir.scsio.ac.cn/handle/344004/15039 |
| 专题 | 热带海洋环境国家重点实验室(LTO) |
| 通讯作者 | xzh2012@163.com |
| 推荐引用方式 GB/T 7714 | Du, Peijun,Xue, Zhaohui,Li, Jun,et al. Learning Discriminative Sparse Representations for Hyperspectral Image Classification[J]. IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING,2015,9(6):1089-1104. |
| APA | Du, Peijun,Xue, Zhaohui,Li, Jun,Plaza, Antonio,&xzh2012@163.com.(2015).Learning Discriminative Sparse Representations for Hyperspectral Image Classification.IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING,9(6),1089-1104. |
| MLA | Du, Peijun,et al."Learning Discriminative Sparse Representations for Hyperspectral Image Classification".IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING 9.6(2015):1089-1104. |
| 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 | ||
| Learning Discriminat（5126KB） | 期刊论文 | 作者接受稿 | 开放获取 | 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 |
| 相关权益政策 |
| 暂无数据 |
| 收藏/分享 |
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。
修改评论