Comparison of Layer-stacking and Dempster-Shafer Theory-based Methods Using Sentinel-1 and Sentinel-2 Data Fusion in Urban Land Cover Mapping
Author:
Affiliation:
1. Department of Geoinformatics, Physical and Environmental Geography, University of Szeged, Szeged, Hungary
2. Institute for Environmental Science, Engineering and Management, Industrial University of Ho Chi Minh City, Ho Chi Minh City, Vietnam
Funder
University of Szeged
Publisher
Informa UK Limited
Subject
Computers in Earth Sciences,Geography, Planning and Development
Link
https://www.tandfonline.com/doi/pdf/10.1080/10095020.2022.2035656
Reference49 articles.
1. Land cover and land use classification performance of machine learning algorithms in a boreal landscape using Sentinel-2 data
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4. Fusion of Quickbird MS and RADARSAT SAR data for urban land-cover mapping: object-based and knowledge-based approach
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