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
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
  • [41] Using Deep Learning for Spatial and Temporal Analysis of Wildfire Start and Progression
    Muthukumar, Pratyush
    Kara, Janmesh
    Pathak, Shaurya
    Comer, Dawn
    Amini, Navid
    Holm, Jeanne
    Pourhomayoun, Mohammad
    2023 INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND COMPUTATIONAL INTELLIGENCE, CSCI 2023, 2023, : 318 - 322
  • [42] Spatial and social interaction in medieval Algerian mosques: a morphological analysis using space syntax
    Redjem M.
    Mazouz S.
    Built Heritage, 2022, 6 (1)
  • [43] A Hierarchical Airport Detection Method Using Spatial Analysis and Deep Learning
    Zeng, Fanxuan
    Cheng, Liang
    Li, Ning
    Xia, Nan
    Ma, Lei
    Zhou, Xiao
    Li, Manchun
    REMOTE SENSING, 2019, 11 (19)
  • [44] Spatial and deep learning analyses of urban recovery from the impacts of COVID-19
    Ma, Shuang
    Li, Shuangjin
    Zhang, Junyi
    SCIENTIFIC REPORTS, 2023, 13 (01)
  • [45] Spatial and deep learning analyses of urban recovery from the impacts of COVID-19
    Shuang Ma
    Shuangjin Li
    Junyi Zhang
    Scientific Reports, 13
  • [46] Morphological evaluation and sentiment analysis of Punjabi text using deep learning classification
    Singh, Jaspreet
    Singh, Gurvinder
    Singh, Rajinder
    Singh, Prithvipal
    JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES, 2021, 33 (05) : 508 - 517
  • [47] Identifying Mouse Autoimmune Uveitis from Fundus Photographs Using Deep Learning
    Sun, Jian
    Huang, Xiaoqin
    Egwuagu, Charles
    Badr, Youakim
    Dryden, Stephen Charles
    Fowler, Brian Thomas
    Yousefi, Siamak
    TRANSLATIONAL VISION SCIENCE & TECHNOLOGY, 2020, 9 (02): : 1 - 10
  • [48] Automatic Vehicle Extraction from Airborne LiDAR Data of Urban Areas using Morphological Reconstruction
    Yao, Wei
    Hinz, Stefan
    Stilla, Uwe
    2008 IAPR WORKSHOP ON PATTERN RECOGNITION IN REMOTE SENSING, 2008, : 13 - 16
  • [49] Identifying deprived areas using indices from the 1991 census and information about the recipients of community charge and council tax benefit
    Jones, S
    JOURNAL OF EPIDEMIOLOGY AND COMMUNITY HEALTH, 1995, 49 : S65 - S71
  • [50] Acquisition of spatial knowledge in different urban areas: evidence from a survey analysis of adolescents
    Burgmanis, Girts
    Krisjane, Zaiga
    Skilters, Jurgis
    COGNITIVE PROCESSING, 2014, 15 (03) : 373 - 383