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    • Automated Land Use and Land Cover Map Production: A Deep Learning Framework 

      Alhassan, Victor (University of WinnipegUniversity of Winnipeg, 2018-10-19)
      In this thesis, we present an approach to automating the creation of land use and land cover (LULC) maps from satellite images using deep neural networks that were developed to perform semantic segmentation of natural ...

    • Automated LULC Map Production using Deep Neural Networks 

      Henry, Christopher J.; Storie, Christopher; Palaniappan, Muthu; Alhassan, Victor; Swamy, Mallikarjun; Aleshinloye, Damilola; Curtis, Andrew; Kima, Daeyoun (Taylor & Francis, 2019-01-17)
      This article presents an approach to automating the creation of land-use/land-cover classification (LULC) maps from satellite images using deep neural networks that were developed to perform semantic segmentation of natural ...

    • A Deep Learning Framework: Land-Use/Land-Cover Mapping and Analysis using Multispectral Satellite Imagery 

      Alhassan, Victor; Henry, Christopher; Ramanna, Sheela; Storie, Christopher (Springer, 2019-07-17)
      In this article, we present an approach to land-use and land-cover (LULC) mapping from multispectral satellite images using deep learning methods. The terms satellite image classification and map production, although used ...