Identifying degrees of deprivation from space using deep learning and morphological spatial analysis of deprived urban areas

被引：0
|
作者：
Abascal, Angela [1 ,2 ]
Rodríguez-Carreño, Ignacio [3 ,4 ]
Vanhuysse, Sabine [5 ]
Georganos, Stefanos [6 ]
Sliuzas, Richard [7 ]
Wolff, Eleonore [5 ]
Kuffer, Monika [7 ]
机构：
[1] School of Architecture, University of Navarra, Pamplona, Spain
[2] Navarra Center for International Development, University of Navarra, Pamplona, Spain
[3] Faculty of Economics, University of Navarra, Pamplona, Spain
[4] Data Science and Artificial Intelligence Institute, University of Navarra, Pamplona, Spain
[5] Department of Geosciences, Environment and Society, Université Libre De Bruxelles, Brussels, Belgium
[6] Division of Geoinformatics, KTH Royal Institute of Technology, Stockholm, Sweden
[7] Faculty of Geo-Information Science & Earth Observation, University of Twente, Enschede, Netherlands
来源：
Computers, Environment and Urban Systems | 2022年 / 95卷
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [31] Discovering Latent Spatial Invariance of Urban Wireless Data using Compression and Deep Learning
    Guo, Weisi
    ICC 2020 - 2020 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2020,
  • [32] High spatial-resolution classification of urban surfaces using a deep learning method
    Fan, Yifan
    Ding, Xiaotian
    Wu, Jindong
    Ge, Jian
    Li, Yuguo
    Building and Environment, 2021, 200
  • [33] High spatial-resolution classification of urban surfaces using a deep learning method
    Fan, Yifan
    Ding, Xiaotian
    Wu, Jindong
    Ge, Jian
    Li, Yuguo
    BUILDING AND ENVIRONMENT, 2021, 200
  • [34] Identifying Brain Anatomical Areas Linked to Suicidal Thoughts in Bipolar Disorder Using Deep Learning Algorithms
    Garcia, Melanie
    Camprodon, Joan
    Wade, Benjamin
    BIOLOGICAL PSYCHIATRY, 2024, 95 (10) : S154 - S155
  • [35] Classifying Economic Areas for Urban Planning using Deep Learning and Satellite Imagery in East Africa
    Uwizera, Davy K.
    Ruranga, Charles
    McSharry, Patrick
    SAIEE AFRICA RESEARCH JOURNAL, 2022, 113 (04) : 138 - 151
  • [36] A deep learning approach for identifying biomedical breakthrough discoveries using context analysis
    Xue Wang
    Xuemei Yang
    Jian Du
    Xuwen Wang
    Jiao Li
    Xiaoli Tang
    Scientometrics, 2021, 126 : 5531 - 5549
  • [37] A deep learning approach for identifying biomedical breakthrough discoveries using context analysis
    Wang, Xue
    Yang, Xuemei
    Du, Jian
    Wang, Xuwen
    Li, Jiao
    Tang, Xiaoli
    SCIENTOMETRICS, 2021, 126 (07) : 5531 - 5549
  • [38] Deep Understanding of Urban Dynamics from Imprint Urban Toponymic Data Using a Spatial-Temporal-Semantic Analysis Approach
    Chen, Yurong
    Zhang, Feng
    Li, Xinba
    Zhang, Chuanrong
    Chen, Ninghua
    Du, Zhenhong
    Liu, Renyi
    Wang, Bo
    ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2021, 10 (05)
  • [39] Open data and injuries in urban areas-A spatial analytical framework of Toronto using machine learning and spatial regressions
    Vaz, Eric
    Cusimano, Michael D.
    Bacao, Fernando
    Damasio, Bruno
    Penfound, Elissa
    PLOS ONE, 2021, 16 (03):
  • [40] Single cell and spatial omics analysis using deep learning technology
    Kojima, Yasuhiro
    CANCER SCIENCE, 2024, 115 : 1467 - 1467
12345