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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Keqin Wu Song Zhang Amburn, P. Moorhead, R.J. |
| Copyright Year | 2009 |
| Description | Author affiliation: Geosystems Research Institute, High Performance Computing Collaboratory, Mississippi State University, Mississippi 39759, USA (Keqin Wu; Song Zhang; Amburn, P.; Moorhead, R.J.) |
| Abstract | This paper presents an application of two methods — a new pseudo-LIC method and a novel streamline placement method — for improving the performance of ocean flow visualization over current methods. Instead of directly texture mapping streamlines as previous methods, the new pseudo-LIC method varies the thickness of a streamline according to its distance from its neighbors before mapping a periodic intensity onto the streamline. This method produces LIC-like image with better contrast and finer delineation. With the novel streamline placement method, topology-aware and evenly-spaced streamline placement, intuitive flow characteristics are presented with visually pleasing streamlines. First, singularities and separatrices are extracted to decompose the flow field into topological regions. Then, a preferred seeding path is selected in each region. The uniform sample points on this path are used as seeds to generate streamlines. We applied these two methods to Navy Coastal Ocean Model (NCOM) data. The resulting visualizations demonstrate the effectiveness of these two methods. |
| Starting Page | 1 |
| Ending Page | 8 |
| File Size | 6336180 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781424449606 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-10-26 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | MTS |
| Subject Keyword | Streaming media Data visualization Sea measurements Topology Meteorology Ocean temperature High performance computing Collaboration Data mining Remote sensing |
| Content Type | Text |
| Resource Type | Article |
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