Along with the development of ocean scientific technology, the research for visualization of oceanography has been an urgent question. The technology of 3D scalar data visualization supplies an effective method. As the ocean data is usually very huge, how can exactly and fast show it is our struggling goal.People gradually realize that single computer can
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Visualization in scientific computing is concerned about generating virtual graphics or images from large-scale data produced by scientific and engineer computing, using computing graphics methods and theories. It has become an indispensable tool in scientific computing, national defense and industry which is inherently so compute and data intensive that it usually needs high-end hardware, massive
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Visualization in scientific computing is a new subject with a rapid development once be proposed since 1980s. Now, it has been widely used in many fields such as Medical, Geoloical Exploration, Weather Forecast, Molecular Biology, Computional Fluid Mechanics and Finite Element Analysis etc, and attract more and more attentions.Planar vector field visualization is one of
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With the rapid development of science and technology, scientific visualization has been increasingly involved in a wide area whose objects become increasingly complex, the amount of data to be processed becomes larger and larger and real-time requirement is increasing. Vector field visualization as the most challenging important part of scientific visualization, the traditional planar vector
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Scientific Visualization (SV) is an important assistant tool of scientific research. It helps scientists to observe and understand the essence and meaning of scientific data. Visualization in Computational Fluid Dynamics (CFD) is one of the most important research topics in SV. The data in CFD is huge and complex, and Feature Visualization (FV) which is
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Weather data visualization is an important direction in the development of visualization technique. In this paper, we carry out some research work which focuses on the time-varying hurricane dataset. The hurricane itself involves lots of factors and it can evolve as the time continues. Thus the hurricane datasets that generated from measure or simulation are
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Vector field visualization technique is one of the most challenging application domains in scientific visualization. One of the main reasons is that no natural visual representation exists for vector fields, especially for three-dimensional vector fields. Vector field visualization provides a powerful means for researcher to understand the complex phenomena hidden in the gigabytes of data.
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Data field visualization technique is one of the most active research topics in computer graphics. Scientific visualization provides an intuitive and effective method to explore the information contained in 3D complex data. It can be applied in wide area, such as medical image processing, meteorology and computational fluid dynamics. This dissertation firstly introduces the basic
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Seismic survey goes through 2D and 3D, up to now, 4D survey methods. This progress has put forward challenges to the traditional 2D seismic interpretation, which did not make the best of information of 3D or 4D seismic data sets, so old interpretation methods must lead to make mistakes of analyzing and deciding rock properties
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Theory, experiment and computational science are three pillars of scientific research. As a main means of scientific research, scientific visualization has had an important impact upon scientific research. Today driven by novel web technology such as semantic web, web services and grid, scientific visualization will play more important role on scientific research.This dissertation research contents
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