Modeling urban expansion by integrating a convolutional neural network and a recurrent neural network

Modeling urban expansion by integrating a convolutional neural network and a recurrent neural network

Simulating urban expansion (UE) accurately is fundamental for projecting ecological and environmental impacts of future UE, for optimizing the urban landscape patterns, and for improving urban sustainability. We proposed a new UE model by integrating a convolutional neural network (i.e., U-Net) and...

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Bibliographic Details
Main Authors: Xinhao Pan, Zhifeng Liu, Chunyang He, Qingxu Huang
Format: Article
Language:English
Published: Elsevier 2022-08-01
Series:International Journal of Applied Earth Observations and Geoinformation
Subjects:
Urban expansion simulation
Cellular automata
Machine learning
Deep learning
Scenario analysis
Shared socioeconomic pathways
Online Access:http://www.sciencedirect.com/science/article/pii/S1569843222001686

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http://www.sciencedirect.com/science/article/pii/S1569843222001686

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