关键词: 城市边界增长模型, 神经网络, 地理信息系统, 遥感, 城市规划

Abstract: According to the growing characteristics of urban space, it is very great significant for urban development planning to explore the laws of urban expansion and study the calculation and prediction model of the urban growth boundary. Unfortunately, the study of developed models is little able to simulate the urban growth boundary in domestic and foreign country. This paper proposes to build an urban growth boundary model in complex geometry with the combination of artificial neural networks, geographic information systems and remote sensing technology. The model experimental results show that, with the model, the calculation and prediction accuracy of the future urban growth boundaries is up to 80%~84%, the results express intuitive and real and provide a decision-making reference for the urban planning in the current smart growing ways.

Key words: Urban Growth Boundary（UGB）, neural netowk, Geographic Information System（GIS）, Remote Sensing（RS）, urban planning