The Research Of Visualizing Air Pollutants Method And Visualization System Implementation

With the fast development of3D scanning technology, space exploration technologies and monitoring techniques, the information we obtained is more and more complex. The research of multifarious and abstract information relationship promotes this new scientific field of information visualization. It combines many disciplines’theories and methods, such as human-computer interaction, image processing, data mining, graphics, computational geometry and cognitive science, etc. Information visualization mainly processes the complexity and abstract information, and reveales the relationship of information and the hidden features of information. Information visualization has aroused widespread concern in recent decades in industry and academia, and the technology has been greatly developed. However, with further research and the continuously improved visualization performance requirements, information visualization research still faces many challenges.When air pollutant emitted into the air, it would blend with air forming into fog. Seeing the outdoor things through the fog we will find the effects of display are changed. And the effect of different concentrations of smoke on the scene is different. It will improve the scene’s authenticity using Graphics method to render smoke and scene. There are certain challenges in rendering the participatory medium of smoke, but this image processing method plays a very important role in the information visualization of air pollutants.This paper presents a new kind of air pollution data visualization methods based on image processing, and shows some compare with other visualization methods. Air pollutant emissions into the air forming smog, and seeing the outdoor things through the fog we will find the effects of display are changed. In order to achieve realistic results, we first deal with pollutant concentration data obtained getting from sensors. And then we convert the pollutant concentration information to color values. In order to get a reasonable distribution of colors we do a spatial domain enhancement of color information. Then we establish an interpolation surface according to the color information of pollutant. According the surface we will get the pollutant concentration of the whole rendering region, and then we will process each pixel of the satellite images on the basis of pollutant concentration to simulate the complex image blended with fog.Through the experiments, we can find that this method can not only get better visualization result, and the calculation is relatively simple. The ultimate goal of this paper is to achieve a remote visualization system of huge amount of data, so the system can be applied on the internet. In addition, with the rapid development of GPU technology, the problem of fast rendering of large-scale scenes has basically been resolved. On the other hand, with the appearance of "Digital Earth","Digital City" and "digital community", the traditional GIS services are moving to internet, and the form of expression converts to3D from2D. So it’s possible to visualize huge amounts of data in large-scale dynamic scenes on the Internet. And we desiderate studying the critical theory and technology of remote interactive visualization of huge amounts of data in large-scale dynamic scenes, including the system architecture of large-scale dynamic scenes remote interactive visualization system, the rapid modeling and rendering method of dynamic mass data, and substantial texture fast generating algorithm, etc.