Mehran Dizbadi
University of Applied Sciences Wurzburg-Schweinfurt, Germany
Scientific Tracks Abstracts: Adv Robot Autom
The rapid and uncontrolled expansion of cities has led to unplanned construction. In this way, modeling and predicting the behavior of the city helps decision-makers. In this study, the aspect of sustainable urban Development has been studied the of Mashhad, and finally, the prediction of urban behavior is one of the important. In this research, using the cellular automaton (ca) model developed for the basis of spatial information system (GIS) and presenting a simple and powerful model simulation of complex urban processes has been done. Using satellite images of Land sat (2002) + Land Sat 8(2018) and artificial neural network ,The proposed model has a better performance compared to Classic models .The main reason is the increase in the flexibility of this model in the face of incompletely information.
Mehran Dizbadi is as Researcher with the Department Surveying and Plastic engineering of University applied Science Wurzburg.
Advances in Robotics & Automation received 1275 citations as per Google Scholar report