|
| Ellipse model,an algorithm for sparse data interpolation based on information diffusion |
| Received:August 16, 2011 Revised:March 10, 2012 |
| View Full Text View/Add Comment Download reader |
| DOI：10.7511/jslx20126012 |
| KeyWord:information diffusion interpolation algorithm sparse data ellipse model |
| Author | Institution |
| 刘巍 |
西南交通大学 信息科学与技术学院,成都 |
| 张韧 |
解放军理工大学 气象学院 军事海洋环境军队重点实验室,南京 |
| 徐志升 |
解放军理工大学 气象学院 军事海洋环境军队重点实验室,南京 |
| 安玉柱 |
解放军理工大学 气象学院 军事海洋环境军队重点实验室,南京 |
| 金炜东 |
西南交通大学 信息科学与技术学院,成都 |
|
| Hits: 2524 |
| Download times: 1981 |
| Abstract: |
| Aiming at the difficulties of scattered and sparse observational data in ocean science,a new interpolation algorithm based on information diffusion idea was presented in this paper.By fuzzy mapping route,the sparse data samples was diffused and mapped into corresponding fuzzy sets in the form of probability in the interpolation ellipse model.For avoiding the shortcoming of data asymmetrical structure in normal diffusion function,a kind of unsymmetrical information diffusion function was developed,and the corresponding unsymmetrical information diffusion algorithm-ellipse model was established.By making the interpolation experiments and contrast for ARGO sea surface temperature data,the rationality and validity of the ellipse-model were validated. |
|
|
|