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Research On Vector Field Visualization And Application In Oceanic Investigation Data Sets

Posted on:2003-07-16Degree:MasterType:Thesis
Country:ChinaCandidate:Q B ZhangFull Text:PDF
GTID:2168360092496613Subject:Computer application technology
Abstract/Summary:PDF Full Text Request
Visualization in scientific computing (ViSC) is a new subject put forward by developed countries at the end of 1980s. Via computer graphics techniques, it transforms data produced by scientific computing into geometric graphics or images so that they can be displayed on screens and be manipulated interactively. Now ViSC has become a strong tool for the discovery and understanding of many scientific phenomena.The visualization of vector fields has consistently been a challenging issue in the visualization field. It can directly display the motion of the vector field by graphics and image and availably penetrate the intrinsic essence and variational law of the vector field. The visualization of vector field has been widely applied in many fields as compute hydrodynamics, aviation kinetics, atmosphere physics, weather analysis and so on.Line integral convolution(LIC) is one of texture-based methods for vector field visualization. Even in the vector direction changing sharply fields, the method can show the direction of the vector field well, and display details of the vector field better. In addition, it can fully disclose the relativity among every spot of the vector field. The image generated by this method takes on continuity and fine. The method relates to spot noise, filter, convolution, render and texture mapping.In this thesis, we have applied above method in a set of oceanic investigation data. The visualization results of the oceanic investigation data by the method of LIC depict the movement law and some feature configurations like vortex in the oceanic field. By practice, we find the method of LIC is more understandable, objective and available than traditional methods. This can prove the validity and practicability of the above methods and show the potential of the methods as well.
Keywords/Search Tags:visualization in scientific computing, data modeling, vector field visulization, texture-based mapping, Line Integral Convolution
PDF Full Text Request
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