| Feature extraction based on tensor modelling for classification methods | |
| Yan, Ronghua1,3; Peng, Jinye1,2; Ma, Dongmei4; Wen, Desheng3; Dong, Yingdi5 | |
| 2018-01-09 | |
| 会议名称 | 2017 International Conference on the Frontiers and Advances in Data Science, FADS 2017 |
| 会议录名称 | Conference Proceedings - 2017 International Conference on the Frontiers and Advances in Data Science, FADS 2017 |
| 卷号 | 2018-January |
| 页码 | 102-107 |
| 会议日期 | 2017-10-23 |
| 会议地点 | Xian, China |
| 出版者 | Institute of Electrical and Electronics Engineers Inc. |
| 产权排序 | 1 |
| 摘要 | Both spatial and spectral information is used when a hyperspectral image is modeled as a tensor. However, this model does not consider both the class and within-class information about the spectral features of ground objects. This means that further improving classification is very difficult. The authors propose that class information, within-class information, and pixels are selected to model a third-order tensor. The most important advantage of the proposed method is that all the pixels of one class are mapped to the same coefficient vector. Therefore, the within-class scatter is minimized, and the classification is improved when compared to the previous methods. © 2017 IEEE. |
| 作者部门 | 空间光学应用研究室 |
| DOI | 10.1109/FADS.2017.8253205 |
| 收录类别 | EI |
| ISBN号 | 9781538631485 |
| 语种 | 英语 |
| EI入藏号 | 20183005592134 |
| EI主题词 | Extraction ; Feature Extraction ; Pixels ; Remote Sensing ; Spectroscopy ; Tensors |
| EI分类号 | Electronics And Communication Engineering::Electronic Equipment, Radar, Radio And Television::Information & Communication Theory |
| 引用统计 | |
| 文献类型 | 会议论文 |
| 条目标识符 | http://ir.opt.ac.cn/handle/181661/30525 |
| 专题 | 空间光学技术研究室 |
| 通讯作者 | Yan, Ronghua |
| 作者单位 | 1.School of Electronics and Information, Northwestern Polytechnical University, Xi'an, China; 2.School of Information and Technology, Northwest University, Xi'an, China; 3.Xi'an Institute of Optics and Precision Mechanics, CAS, Xi'an, China; 4.Xi'an-Janssen Pharmaceutical Ltd., Xi'an, China; 5.School of Information and Control Engineering, Xi'an University of Architecture and Technology, Xi'an, China |
| 推荐引用方式 GB/T 7714 | Yan, Ronghua,Peng, Jinye,Ma, Dongmei,et al. Feature extraction based on tensor modelling for classification methods[C]:Institute of Electrical and Electronics Engineers Inc.,2018:102-107. |
| 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 | ||
| Feature extraction b（812KB） | 会议论文 | 限制开放 | CC BY-NC-SA | 请求全文 | ||
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