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ISPRS Int. J. Geo-Inf. 2016, 5(6), 86; doi:10.3390/ijgi5060086

3-Dimensional Modeling and Simulation of the Cloud Based on Cellular Automata and Particle System

1
School of Geography & Remote Sensing, Nanjing University of Information Science and Technology, Nanjing 210044, China
2
Henry Samueli School of Engineering and Applied Science, University of California, Los Angeles, CA 90095-1594, USA
*
Author to whom correspondence should be addressed.
Academic Editors: Tanvir Islam and Wolfgang Kainz
Received: 28 February 2016 / Revised: 8 May 2016 / Accepted: 26 May 2016 / Published: 6 June 2016

Abstract

The authors combine the cellular automata with particle system to realize the three-dimensional modeling and visualization of the cloud in the paper. First, we use the principle of particle systems to simulate the outline of the cloud; generate uniform particles in the bounding volumes of the cloud through random function; build the cloud particle system; and initialize the particle number, size, location and related properties. Then the principle of cellular automata system is adopted to deal with uniform particles simulated by the particle system to make it conform to the rules set by the user, and calculate its continuous field density. We render the final cloud particles with a texture map and simulate the more realistic three-dimensional cloud. This method not only obtains the real effect in the simulation, but also improves the rendering performance. View Full-Text
Keywords: cellular automata; particle system; three-dimensional modeling; simulation; the cloud cellular automata; particle system; three-dimensional modeling; simulation; the cloud
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Bi, S.; Bi, S.; Zeng, X.; Lu, Y.; Zhou, H. 3-Dimensional Modeling and Simulation of the Cloud Based on Cellular Automata and Particle System. ISPRS Int. J. Geo-Inf. 2016, 5, 86.

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