Albedo recovery for hyperspectral image classification
文献类型：期刊论文
| 作者 | Zhan, Kun1; Wang, Haibo1; Xie, Yuange1; Zhang, Chutong2; Min, Yufang3 |
| 刊名 | JOURNAL OF ELECTRONIC IMAGING
 |
| 出版日期 | 2017-07-01 |
| 卷号 | 26期号:4页码:12 |
| 关键词 | hyperspectral image hyperspectral image classification albedo recovery support vector machine |
| ISSN号 | 1017-9909 |
| DOI | 10.1117/1.JEI.26.4.043010 |
| 通讯作者 | Zhan, Kun(kzhan@lzu.edu.cn) |
| 英文摘要 | Image intensity value is determined by both the albedo component and the shading component. The albedo component describes the physical nature of different objects at the surface of the earth, and land-cover classes are different from each other because of their intrinsic physical materials. We, therefore, recover the intrinsic albedo feature of the hyperspectral image to exploit the spatial semantic information. Then, we use the support vector machine (SVM) to classify the recovered intrinsic albedo hyperspectral image. The SVM tries to maximize the minimum margin to achieve good generalization performance. Experimental results show that the SVM with the intrinsic albedo feature method achieves a better classification performance than the state-of-the-art methods in terms of visual quality and three quantitative metrics. (C) 2017 SPIE and IS&T |
| 收录类别 | SCI |
| WOS关键词 | REMOTE-SENSING IMAGES ; SPECTRAL-SPATIAL CLASSIFICATION ; SUPPORT VECTOR MACHINES ; FEATURE-EXTRACTION ; DECOMPOSITION ; SEGMENTATION |
| WOS研究方向 | Engineering ; Optics ; Imaging Science & Photographic Technology |
| WOS类目 | Engineering, Electrical & Electronic ; Optics ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:000413982300010 |
| 出版者 | IS&T & SPIE |
| URI标识 | http://www.irgrid.ac.cn/handle/1471x/2558020 |
| 专题 | 寒区旱区环境与工程研究所 |
| 通讯作者 | Zhan, Kun |
| 作者单位 | 1.Lanzhou Univ, Sch Informat Sci & Engn, Lanzhou, Gansu, Peoples R China 2.Huazhong Univ Sci & Technol, Sch Opt & Elect Informat, Wuhan, Hubei, Peoples R China 3.Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Lanzhou, Gansu, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhan, Kun,Wang, Haibo,Xie, Yuange,et al. Albedo recovery for hyperspectral image classification[J]. JOURNAL OF ELECTRONIC IMAGING,2017,26(4):12. |
| APA | Zhan, Kun,Wang, Haibo,Xie, Yuange,Zhang, Chutong,&Min, Yufang.(2017).Albedo recovery for hyperspectral image classification.JOURNAL OF ELECTRONIC IMAGING,26(4),12. |
| MLA | Zhan, Kun,et al."Albedo recovery for hyperspectral image classification".JOURNAL OF ELECTRONIC IMAGING 26.4(2017):12. |
入库方式： iSwitch采集
来源：寒区旱区环境与工程研究所
浏览0
下载0
收藏0
其他版本
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。