John E. Vargas-Muñoz

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 · 164 citations · Full text

Urban Geography, Engineering, Spatial Planning +12

Fine-grained landuse characterization using ground-based pictures: a deep learning solution based on globally available data

Shivangi Srivastava, John E. Vargas-Muñoz, Sylvain Lobry et al. · International Journal of Geographical Information Systems · 2018 · 93 citations · Full text

Convolutional Neural Network, Precision Agriculture, Engineering +24

Behavior Knowledge Space-Based Fusion for Copy–Move Forgery Detection

Anselmo Ferreira, Siovani Cintra Felipussi, Carlos A. Alfaro et al. · IEEE Transactions on Image Processing · 2016 · 61 citations

Engineering, Machine Learning, Copy–move Forgery Detection +19

Correcting rural building annotations in OpenStreetMap using convolutional neural networks

John E. Vargas-Muñoz, Sylvain Lobry, Alexandre X. Falcão et al. · ISPRS Journal of Photogrammetry and Remote Sensing · 2018 · 61 citations · Full text

Urban Design, Spatial Planning, Landscape Planning +4

Fine-grained population mapping from coarse census counts and open geodata

Nando Metzger, John E. Vargas-Muñoz, Rodrigo Caye Daudt et al. · Scientific Reports · 2022 · 28 citations · Full text