Title :
Cloud Scenes Generation Based on the Improved Random Midpoint Displacement Method
Author :
Dongsheng Yang ; Kaipei Yang
Author_Institution :
Sch. of Astronaut., Northwestern Polytech. Univ., Xi´an, China
Abstract :
In order to generate more rational and more diversified natural cloud scene, the improved random midpoint displacement method is proposed in this paper. We find that the cloud scenes generated by the traditional random midpoint displacement method are simple and similar through simulation analysis. The limitation of the traditional random midpoint displacement method is caused by unreasonable method by generating random numbers. So the improved random midpoint displacement method uses a new method to generate random numbers. In improved method, the normalized function is used and the difference between the average value and the maximum and minimum value is taken into account. According to a large number of simulations, the law of that parameters of the improved method which influence the cloud scenes is given and the qualification about parameters of the improved method is presented. Simulation results show that the cloudy scenes by improved method are more rational and more diversity.
Keywords :
clouds; geophysics computing; image processing; simulation; cloud scenes generation; improved random midpoint displacement method; simulation analysis; Clouds; Educational institutions; Equations; Gray-scale; Mathematical model; Simulation; Software; cloud; improved; midpoint displacement method; scene generation;
Conference_Titel :
Information Science and Cloud Computing (ISCC), 2013 International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-1-4799-4968-7
DOI :
10.1109/ISCC.2013.21