Researching | The definition of urban fringe based on multi-source data and deep learning

Geographical Research, Volume. 39, Issue 2, 243(2020)

The definition of urban fringe based on multi-source data and deep learning

Xingnan LIU1...1,1,1,1,1,1,1,1,1,1,1, Zhifeng WU1,1,1,1,1,1,1,1,1,1,1,1, Renbo LUO1,1,1,1,1,1,1,1,1,1,1,1, and Yanyan WU1,1,1,1,11 |Show fewer author(s)

Author Affiliations

¹1School of Geographical Sciences, Guangzhou University, Guangzhou 510006, China

¹1广州大学地理科学学院,广州 510006

¹2Guangdong Province Engineering Technology Research Center for Geographical Conditions Monitoring and Comprehensive Analysis, Guangzhou 510006, China

¹2广东省地理国情监测与综合分析工程技术研究中心,广州 510006

¹3School of Geography and Tourism, Guangdong University of Finance and Economic, Guangzhou 510320, China

¹3广东财经大学地理与旅游学院,广州 510320

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Figures & Tables(8)

Fig. 1. 研究区域Fig. 1

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Fig. 2. 城市边缘区判定影响因子Fig. 2

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Fig. 3. 单个人工神经元模型和激活函数Fig. 3

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Fig. 4. 深度神经网络模型框架图Fig. 4

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Fig. 5. 遥感影像及街景照片Fig. 5

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Fig. 6. 模型精度检验Fig. 6

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Fig. 7. 广州市城市空间结构与路网分布Fig. 7

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Fig. 8. 广州市城市核心区空间分布Fig. 8

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Xingnan LIU, Zhifeng WU, Renbo LUO, Yanyan WU. The definition of urban fringe based on multi-source data and deep learning[J]. Geographical Research, 2020, 39(2): 243

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Received: Oct. 8, 2018

Accepted: --

Published Online: Oct. 17, 2020

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DOI:10.11821/dlyj020181085

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