Deploying machine learning to assist digital humanitarians: making image annotation in OpenStreetMap more efficient
Author:
Affiliation:
1. Laboratory of Image Data Science, Institute of Computing University of Campinas, Campinas, Brazil
2. Laboratory of Geo-information Science and Remote Sensing, Wageningen University & Research, Wageningen, The Netherlands
Funder
Fundação de Amparo à Pesquisa do Estado de São Paulo
Conselho Nacional de Desenvolvimento Científico e Tecnológico
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brasil
Swiss National Science Foundation
Publisher
Informa UK Limited
Subject
Library and Information Sciences,Geography, Planning and Development,Information Systems
Link
https://www.tandfonline.com/doi/pdf/10.1080/13658816.2020.1814303
Reference31 articles.
1. Ambiguity and plausibility
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3. Fast and Accurate Template Matching Algorithm Based on Image Pyramid and Sum of Absolute Difference Similarity Measure
4. Joint Learning from Earth Observation and OpenStreetMap Data to Get Faster Better Semantic Maps
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