基于数据感知的海洋水文时空数据可视化

系统仿真学报 ›› 2015, Vol. 27 ›› Issue (9): 2150-2155.

基于数据感知的海洋水文时空数据可视化

李彩霞¹, 宋元², 王艺¹, 李智¹, 程小林¹

1.中国卫星海上测控部,江苏江阴 214431;
2.海军大连舰艇学院,辽宁大连 116018

收稿日期:2015-04-30 修回日期:2015-08-04 出版日期:2015-09-08 发布日期:2020-08-07
作者简介:李彩霞(1977-),女,吉林敦化市人,硕士,高工,研究方向为数据可视化;宋元(1975-),男,山东即墨人,博士,副教授,研究方向为系统建模与仿真;王艺(1987-),男,安徽宣城人,工程师,研究方向为视觉空间建模。

Ocean Hydrological Spatio-Temperal Data Visualization Based on Data Awareness

Li Caixia¹, Song Yuan², Wang Yi¹, Li Zhi¹, Cheng Xiaolin¹

1. Satellite Marine Tracking and Control Department of China, Jiangyin 214431, China;
2. Dalian Naval Academy, Dalian 116018, China

Received:2015-04-30 Revised:2015-08-04 Online:2015-09-08 Published:2020-08-07

摘要/Abstract

摘要： 海洋水文数据建模与可视化过程中充分挖掘数据时空依赖关系是当前研究热点之一。借鉴位置社会感知思想,提出一种时空数据感知模型(spatio-temporal data awareness model,SDAM)：用数据语义标签描述采样点时空信息上下文、温盐密等非视觉物理量值;用三线性插值法感知空间邻近域数据语义,通过挖掘时空频繁模式感知(推演)时间邻近域数据语义,构建表征时空耦合特征的水文感知数据集;对高分辨率的底层感知数据进行相似性度量,通过时空聚类构建时空特征类簇,获取宏观的、低分辨率时空主题应用数据集。通过对中国沿海2014年第一季度海洋温盐深数据Web环境下三维可视化描述,验证了水文时空数据感知模型的可行性和有效性。

关键词: 海洋水文数据, 时空数据感知模型, 时空聚类, WebGL, 三维可视化

Abstract: Spatio-temporal data mining has emerged as an active research field focusing on the modeling and visualization of ocean hydrological data. A model of spatio-temporal data awareness (SDAM) was proposed, which gave details from three parts: 1) Description with data semantic tag for spatio-temporal context and value. 2) Awareness of spatial neighborhood semantic features by means of tri-linear interpolation; Awareness of temporal neighborhood semantic features by means of spatio-temporal frequent pattern mining; Developing database with the spatio-temporal coupling characteristics. 3) Developing feature cluster and application dataset by spatio-temporal clustering. With an application case of China's hydrological database, SDAM visualization on Web3D was demonstrated. Experimental result shows the effectiveness of the method.

Key words: ocean hydrological data, AM, spatio-temporal clustering, WebGL, 3D visualization

中图分类号:

TP391
P7

李彩霞, 宋元, 王艺, 李智, 程小林. 基于数据感知的海洋水文时空数据可视化[J]. 系统仿真学报, 2015, 27(9): 2150-2155.

Li Caixia, Song Yuan, Wang Yi, Li Zhi, Cheng Xiaolin. Ocean Hydrological Spatio-Temperal Data Visualization Based on Data Awareness[J]. Journal of System Simulation, 2015, 27(9): 2150-2155.

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