Urban growth simulation by incorporating policies into a CA-based future land-use simulation model

AbstractUrban land-use change is affected by urban planning and government decision-making. Previous urban simulation methods focused only on planning

Mining transition rules of CA for simulating urban expansion by using the deep learning techniques

AbstractAlong with the gradually accelerated urbanization process, simulating and predicting the future pattern of the city is of great importance to

人口集聚对中国城市经济增长的影响分析

摘要人口集聚是新经济地理学关注的焦点，由于连续年份城市建设用地数据难以获取等原因，目前仍无法明确人口集聚是否促进了中国城市经济增长。采用消除连续年份时空异质性的DMSP/OLS夜间灯光数据方法所提取的建设用地等数据，通过构建人口密度影响地均收入水平的理论模型，分析2005-2013年间人口集聚对中国

Scene Classification Based on the Sparse Homogeneous–Heterogeneous Topic Feature Model

AbstractHigh spatial resolution (HSR) imagery scene classification has been the subject of increased interest in recent years, and has great potential

A time series of urban extent in China using DSMP/OLS nighttime light data

AbstractUrban extent data play an important role in urban management and urban studies, such as monitoring the process of urbanization and changes in

Delineating urban growth boundaries with a CA-based FLUS model and morphological method

AbstractUrban growth boundaries (UGBs) have been commonly regarded as a useful tool for controlling urban sprawl. There is a need to create models tha

Deep-Local-Global Feature Fusion Framework for High Spatial Resolution Imagery Scene Classification

AbstractHigh spatial resolution (HSR) imagery scene classification has recently attracted increased attention. The bag-of-visual-words (BoVW) model is

Estimating effects of the "Community Opening" on alleviating traffic congestion in China's cities

AbstractAccording to an urban planning directive issued by the Chinese Central Government in early 2016, the Community Opening Policy will be put on t

Simulating urban expansion and impact on functional connectivity in the Three Gorges Reservoir Area

AbstractUnderstanding the impact of urban expansion on functional connectivity is significant to biodiversity conservation. Particularly, in the Three

Mapping fine-scale urban housing prices by fusing remote-sensing images and social media data

AbstractThe accurate mapping of urban housing prices at a fine scale is essential to policymaking and urban studies, such as adjusting economic factor