Subpixel-based target detection in hyperspectral imagery with pairwise coupling Support Vector Machines
文献类型：会议论文
| 作者 | Li H; Wang YP; Li Y; Cao Y |
| 出版日期 | 2008-05-15 |
| 会议日期 | 2008-5-15 |
| 会议地点 | Jiaozuo, PEOPLES R CHINA |
| 英文摘要 | Interpretation of mixed pixels has become a key factor in the analysis of hyper spectral imagery. In this paper, an extended Support Vector Machines (SVM) method is designed to estimate abundance fractions of materials present in an image pixel. Tradition Support vector classification predicts only class labels. For getting accurate amounts of abundance material, SVM method is combined with pairwise coupling. The method estimates probabilities which are used as the proportions of materials. There are two constraints imposed on probabilities: the class probabilities sum to one, and class probabilities are non negativity. To demonstrate the usefulness and acceptability of the method, experiments are conducted on simulated hyperspectral data. The results show that the application of extended SVM Method to subpixel-based target detection is effective and feasible. |
| 会议录 | International Conference on Informational Technology and Environmental System Science
 |
| 语种 | 英语 |
| 源URL | [http://210.77.94.230:8080/handle/344008/9385]  |
| 专题 | 广州地球化学研究所_中科院广州地化所(-2008) |
| 推荐引用方式 GB/T 7714 | Li H,Wang YP,Li Y,et al. Subpixel-based target detection in hyperspectral imagery with pairwise coupling Support Vector Machines[C]. 见:. Jiaozuo, PEOPLES R CHINA. 2008-5-15. |
入库方式： OAI收割
来源：广州地球化学研究所
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。