Urban expansion cellular automata model based on multi-structures convolutional neural networks

Urban expansion cellular automata model based on multi-structures convolutional neural networks

Based on multi-structures convolutional neural networks, this paper proposes an urban expansion cellular automata model (MSCNN-CA) considering the multi-scale neighborhood information to explore the problem of traditional cellular automata (CA) models merely accounting for a single pixel's fact...

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Bibliographic Details
Main Authors: XIE Zhiwen, WANG Haijun, ZHANG Bin, HUANG Xinxin
Format: Article
Language:zho
Published: Surveying and Mapping Press 2020-03-01
Series:Acta Geodaetica et Cartographica Sinica
Subjects:
urban expansion
cellular automata
multi-structures convolutional neural networks
geographic simulation
Online Access:http://html.rhhz.net/CHXB/html/2020-3-375.htm

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http://html.rhhz.net/CHXB/html/2020-3-375.htm

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