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| Probability model-an interpolation technique for oceanic sparse data based on information diffusion |
| Received:March 10, 2012 Revised:July 20, 2012 |
| View Full Text View/Add Comment Download reader |
| DOI：10.7511/jslx201304017 |
| KeyWord:information diffusion interpolation technique sparse data probability model |
| Author | Institution |
| 张韧 |
解放军理工大学 气象海洋学院,军事海洋环境军队重点实验室,南京 |
| 徐志升 |
成都军区气象中心,成都 |
| 刘巍 |
西南交通大学 信息科学与技术学院,成都 |
| 黄志松 |
解放军理工大学 气象海洋学院,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 气象海洋学院,军事海洋环境军队重点实验室,南京 |
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| Abstract: |
| Aiming at the difficulties of scattered and sparse observational data in ocean science,a new interpolation technique based on information diffusion idea is presented in this paper.By fuzzy mapping route,the sparse data samples are diffused and mapped into corresponding fuzzy sets in the form of probability in the probability interpolation model.For avoiding the shortcoming of data asymmetrical structure in normal diffusion function,a kind of unsymmetrical information diffusion function is developed,and the corresponding unsymmetrical information diffusion algorithm-probability model is established.By making the interpolation experiments and contrast for sea surface temperature data,the rationality and validity of the ellipse-model are validated. |
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