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REPRESENTATION OF 3D ATMOSPHERIC DATA USING A MULTI-STAGE VISUALIZATION PIPELINE
Autori: Marius Gavrilescu
Data aparitiei: June 2013
Revista: Environmental Engineering and Management JournalVol. 12Nr. 6
ISSN: 1843 - 3707
Pret: 25.00 RON    
N.A.
Abstract
The representation of relevant information from data generated through atmospheric imaging is of substantial importance to
environmental sciences, meteorology, as well as in weather hazard predictive models for disaster prevention. As the techniques
for the acquisition of such data have progressed and grown in complexity, so have the visualization algorithms required to process
the related data and to produce images or animations of the underlying information. To this extent, we present a generic pipeline
for the visualization of 3D atmospheric data. Specifically, we focus on hurricane data sets, which contain a significant amount of
varied information which may be difficult to properly isolate thought conventional means. The pipeline involves the use of
sampling, classification and rendering techniques which convert raw data originating from 3D acquisition means into images
which reveal meaningful information on atmospheric and meteorological measurements such as water content, rainfall patterns or
wind direction and velocity. We describe the steps involved in processing such data and provide images generated by our
rendering framework which illustrate the results. The underlying algorithms fully exploit the capabilities of modern graphics
processing units (GPUs), enabling fast and efficient real-time exploration and inspection of the data.




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