Deep convolutional autoencoder for urban land use classification using mobile device data-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Deep convolutional autoencoder for urban land use classification using mobile device data

Published:2022-08-03 Issue:11 Volume:36 Page:2138-2168
ISSN:1365-8816
Container-title:International Journal of Geographical Information Science
language:en
Short-container-title:International Journal of Geographical Information Science

Author:

Sun Zhihao¹^ORCID,Peng Zhenghong²,Yu Yang¹,Jiao Hongzan¹³^ORCID

Affiliation:

1. Department of Urban Planning, School of Urban Design, Wuhan University, Wuhan, China

2. Department of Graphics and Digital Technology, School of Urban Design, Wuhan University, Wuhan, China

3. Engineering Research Center of Human Settlements and Environment of Hubei Province, Wuhan, China

Funder

Error! Hyperlink reference not valid.

National Natural Science Foundation of China Major Program

Publisher

Informa UK Limited

Subject

Library and Information Sciences,Geography, Planning and Development,Information Systems

Link

https://www.tandfonline.com/doi/pdf/10.1080/13658816.2022.2105848

Reference63 articles.

1. Auto-association by multilayer perceptrons and singular value decomposition

2. Breiman, L., 2001. Random Forrest. Machine learning, 45, 5–32.

3. Traffic Flow Estimation Models Using Cellular Phone Data

4. Real-Time Urban Monitoring Using Cell Phones: A Case Study in Rome

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Urban region representation learning with human trajectories: a multi-view approach incorporating transition, spatial, and temporal perspectives;GIScience & Remote Sensing;2024-09-04

2. Deep learning for urban land use category classification: A review and experimental assessment;Remote Sensing of Environment;2024-09

3. A multi-view ensemble machine learning approach for 3D modeling using geological and geophysical data;International Journal of Geographical Information Science;2024-08-22

4. A review of crowdsourced geographic information for land-use and land-cover mapping: current progress and challenges;International Journal of Geographical Information Science;2024-07-14

5. A self-supervised detection method for mixed urban functions based on trajectory temporal image;Computers, Environment and Urban Systems;2024-06

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3