Multivariate visualization for atmospheric pollution

doi:10.1007/s12650-019-00588-z

	Multivariate visualization for atmospheric pollution
	Lu, Daying 1; Ge, Yao 1; Wang, Laihua 1; Zhu, Dengming 2; Wang, Zhaoqi 2; Yuan, Xiaoru 3
	2019-12-01
发表期刊	JOURNAL OF VISUALIZATION
ISSN	1343-8875
卷号	22 期号:6 页码:1093-1105
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.
关键词	Multivariate visualization Atmospheric pollution Occlusion Streamline Isosurface
DOI	10.1007/s12650-019-00588-z
收录类别	SCI
语种	英语
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
WOS类目	Computer Science, Interdisciplinary Applications ; Imaging Science & Photographic Technology
WOS记录号	WOS:000493689600004
出版者	SPRINGER
引用统计	被引频次：1[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/14908
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.Qufu Normal Univ, Coll Software, Qufu, Shandong, Peoples R China 2.Chinese Acad Sci, Inst Comp Technol, Beijing, Peoples R China 3.Peking Univ, Key Lab Machine Percept, 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.