Multivariate visualization for atmospheric pollution
文献类型：期刊论文
| 作者 | Lu, Daying2; Ge, Yao2; Wang, Laihua2; Zhu, Dengming3; Wang, Zhaoqi3; Yuan, Xiaoru1 |
| 刊名 | JOURNAL OF VISUALIZATION
 |
| 出版日期 | 2019-12-01 |
| 卷号 | 22期号:6页码:1093-1105 |
| 关键词 | Multivariate visualization Atmospheric pollution Occlusion Streamline Isosurface |
| ISSN号 | 1343-8875 |
| DOI | 10.1007/s12650-019-00588-z |
| 英文摘要 | Multivariate visualization for atmospheric pollution is a challenging research topic. Appropriate algorithms and data structures based on modern graphics hardware are used to obtain high performance. 3D visualization of the atmospheric wind field and pollutant concentrations can easily result in visual perception problems such as occlusion and cluttering even artifacts. To solve the above issues, a K-means clustering technique is used in combination with a similarity metric between streamlines based on an iterative closest point method to cluster the initial streamlines. A small set of streamlines is then selected to represent the prominent structure of the wind field. The proper illumination model and the depth sorting method reduce the inter-occlusion between streamlines and isosurfaces to show much clearer wind field pattern and important features effectively. The atmospheric pollution data set is employed to evaluate the proposed algorithm framework. |
| 资助项目 | National Natural Science Foundation of China[61379085] ; National Natural Science Foundation of China[61601261] ; Science and Technology Program Foundation for Colleges and Universities in Shandong Province[J17KA062] ; Industry-academy Cooperation and Cooperative Education Project of Ministry of Education[201602028014] ; Laboratory Open Foundation of Qufu Normal University[sk201723] |
| WOS研究方向 | Computer Science ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:000493689600004 |
| 出版者 | SPRINGER |
| 源URL | [http://119.78.100.204/handle/2XEOYT63/14907]  |
| 专题 | 中国科学院计算技术研究所期刊论文_英文 |
| 通讯作者 | Lu, Daying |
| 作者单位 | 1.Peking Univ, Key Lab Machine Percept, Beijing, Peoples R China 2.Qufu Normal Univ, Coll Software, Qufu, Shandong, Peoples R China 3.Chinese Acad Sci, Inst Comp Technol, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Lu, Daying,Ge, Yao,Wang, Laihua,et al. Multivariate visualization for atmospheric pollution[J]. JOURNAL OF VISUALIZATION,2019,22(6):1093-1105. |
| APA | Lu, Daying,Ge, Yao,Wang, Laihua,Zhu, Dengming,Wang, Zhaoqi,&Yuan, Xiaoru.(2019).Multivariate visualization for atmospheric pollution.JOURNAL OF VISUALIZATION,22(6),1093-1105. |
| MLA | Lu, Daying,et al."Multivariate visualization for atmospheric pollution".JOURNAL OF VISUALIZATION 22.6(2019):1093-1105. |
入库方式： OAI收割
来源：计算技术研究所
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