Concepedia

Active Learning For Geospatial Data

Active Learning for Geospatial Data is a machine learning paradigm that iteratively selects the most informative geospatial samples for labeling and model training, thereby optimizing learning performance under limited annotation resources by leveraging the spatial structure and heterogeneity inherent in geographic data.

14

Publications

349

Citations

61

Authors

33

Institutions

Publications per year

2017–2026

11

Parents

Publications

14

A new multi-source remote sensing image sample dataset with high resolution for flood area extraction: GF-FloodNet

Yuwei Zhang, Peng Liu, Lajiao Chen et al. · International Journal of Digital Earth · 2023 · 50 citations · Full text

, , +16

Automated wildlife image classification: An active learning tool for ecological applications

Ludwig Bothmann, Lisa Wimmer, Omid Charrakh et al. · Ecological Informatics · 2023 · 39 citations

, , +15

Mapping oil palm density at country scale: An active learning approach

Andrés C. Rodríguez, Stefano D’Aronco, Konrad Schindler et al. · Remote Sensing of Environment · 2021 · 38 citations · Full text

, , +17

Deep Learning From Multiple Crowds: A Case Study of Humanitarian Mapping

Jiaoyan Chen, Yan Zhou, Alexander Zipf et al. · IEEE Transactions on Geoscience and Remote Sensing · 2018 · 37 citations

, , +17

Spatially Cost-sensitive Active Learning

Alexander Liu, Goo Jun, Joydeep Ghosh · 2009 · 33 citations · Full text

, , +17

1–5 of 14

Authors

61

  1. JC
    Jiaoyan Chen

    Zhejiang University, China

    1 publications · 37 citations

    1

    h-index

  2. CB
    Caryl Benjamin

    Technical University of Munich, Germany

    1 publications · 39 citations

    1

    h-index

  3. YZ
    Yan Zhou

    Xiangtan University, China

    1 publications · 37 citations

    1

    h-index

  4. WP
    Wibke Peters

    Bavarian State Research Center for Agriculture, Germany

    1 publications · 39 citations

    1

    h-index

  5. HN
    Hien Nguyen

    California Institute of Technology, United States

    1 publications · 39 citations

    1

    h-index

1–5 of 61

Institutions

33

  1. University of Colorado Boulder

    Boulder, United States

    2 h-index

    3 publications

    34 citations

  2. University of Oxford

    Oxford, United Kingdom

    2 h-index

    2 publications

    63 citations

  3. Ludwig-Maximilians-Universität München

    Munich, Germany

    1 h-index

    4 publications

    156 citations

  4. Chinese Academy of Sciences

    Beijing, China

    1 h-index

    4 publications

    200 citations

  5. University of Zurich

    Zurich, Switzerland

    1 h-index

    1 publications

    38 citations

  6. Heidelberg University

    Heidelberg, Germany

    1 h-index

    2 publications

    74 citations

  7. DigitalGlobe Foundation

    Westminster, United States

    1 h-index

    1 publications

    12 citations

  8. Norwegian University of Science and Technology

    Trondheim, Norway

    1 h-index

    1 publications

    37 citations

1–8 of 33

Venues

  1. Environmental Science and Pollution Research

    ESPR · 1 publications · 26 citations

    1

    h-index

  2. Mathematics

    1 publications · 15 citations

    1

    h-index

  3. GIScience & Remote Sensing

    1 publications · 11 citations

    1

    h-index

  4. ISPRS International Journal of Geo-Information

    IJGI · 1 publications · 12 citations

    1

    h-index

  5. Computers & Geosciences

    CAGEO · 1 publications · 19 citations

    1

    h-index

1–5