Zhaotang Liang

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D. Xu, L. Ying, Z-P. Liang Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States, Department of Electrical Engineering and Computer Science, University of Wisconsin at Milwaukee, Milwaukee, WI, United States INTRODUCTION In dynamic imaging, data are collected in tilted trajectories in k-t(More)
China has encountered serious land loss problems along with urban expansion due to rapid urbanization. Without considering complicated spatiotemporal heterogeneity, previous studies could not extract urban transition rules at large scale well. This study proposed a random forest algorithm (RFA) based cellular automata (CA) model to simulate China's urban(More)
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