Concepedia

Geospatial Feature Learning

Geospatial Feature Learning is a methodological framework within geospatial feature engineering that systematically derives discriminative representations from raw geospatial data by leveraging spatial, temporal, and contextual dependencies to enhance downstream geographic analysis tasks.

42

Publications

2.6K

Citations

151

Authors

60

Institutions

Publications per year

2017–2026

33

Parents

Publications

42

Wide-Area Image Geolocalization with Aerial Reference Imagery

Scott Workman, Richard Souvenir, Nathan Jacobs · 2015 · 368 citations

, , +17

Each Part Matters: Local Patterns Facilitate Cross-View Geo-Localization

Tingyu Wang, Zhedong Zheng, Chenggang Yan et al. · IEEE Transactions on Circuits and Systems for Video Technology · 2021 · 260 citations · Full text

, , +16

Learned Contextual Feature Reweighting for Image Geo-Localization

Hyo Jin Kim, Enrique Dunn, Jan‐Michael Frahm · 2017 · 233 citations

, , +16

Tile2Vec: Unsupervised Representation Learning for Spatially Distributed Data

Neal Jean, Sherrie Wang, Anshul Samar et al. · 2019 · 173 citations

, , +16

Understanding urban landuse from the above and ground perspectives: A deep learning, multimodal solution

Shivangi Srivastava, John E. Vargas-Muñoz, Devis Tuia · Remote Sensing of Environment · 2019 · 169 citations · Full text

, , +17

1–5 of 42

Authors

151

  1. KK
    Konstantin Klemmer

    University of Warwick, United Kingdom

    3 publications · 74 citations

    3

    h-index

  2. SW
    Scott Workman

    University of Kentucky, United States

    3 publications · 519 citations

    3

    h-index

  3. NJ
    Nathan Jacobs

    University of Kentucky, United States

    3 publications · 519 citations

    3

    h-index

  4. SE
    Stefano Ermon

    Stanford University, United States

    3 publications · 242 citations

    3

    h-index

  5. ER
    Esther Rolf

    University of California, Berkeley, United States

    2 publications · 56 citations

    2

    h-index

1–5 of 151

Institutions

60

  1. University of North Carolina at Charlotte

    Charlotte, United States

    4 h-index

    7 publications

    617 citations

  2. Stanford University

    Stanford, United States

    3 h-index

    17 publications

    1.4K citations

  3. University of Kentucky

    Lexington, United States

    3 h-index

    6 publications

    1K citations

  4. National University of Singapore

    Singapore, Singapore

    2 h-index

    9 publications

    237 citations

  5. University of California, Santa Barbara

    Santa Barbara, United States

    2 h-index

    5 publications

    327 citations

  6. Wageningen University & Research

    Wageningen, The Netherlands

    2 h-index

    3 publications

    375 citations

  7. Pennsylvania State University

    State College, United States

    2 h-index

    6 publications

    282 citations

  8. Amazon (United States)

    Seattle, United States

    2 h-index

    5 publications

    139 citations

1–8 of 60

Venues

  1. arXiv (Cornell University)

    Repository · 4 publications · 68 citations

    4

    h-index

  2. 3

    h-index

  3. Computers Environment and Urban Systems

    3 publications · 103 citations

    3

    h-index

  4. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 2 publications · 69 citations

    2

    h-index

  5. 2

    h-index

1–5