Search Results - "Alhassan, Victor"

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  1. 1

    High-Resolution Semantically Consistent Image-to-Image Translation by Sokolov, Mikhail, Henry, Christopher, Storie, Joni, Storie, Christopher, Alhassan, Victor, Turgeon-Pelchat, Mathieu

    “…Deep learning has become one of remote sensing scientists' most efficient computer vision tools in recent years. However, the lack of training labels for the…”
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    Journal Article
  2. 2

    A deep learning framework for land-use/land-cover mapping and analysis using multispectral satellite imagery by Alhassan, Victor, Henry, Christopher, Ramanna, Sheela, Storie, Christopher

    Published in Neural computing & applications (01-06-2020)
    “…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…”
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    Journal Article
  3. 3

    Understanding how extreme heat impacts human activity-mobility and time use patterns by Batur, Irfan, Alhassan, Victor O., Chester, Mikhail V., Polzin, Steven E., Chen, Cynthia, Bhat, Chandra R., Pendyala, Ram M.

    “…There is growing interest in understanding the interaction between weather and transportation and the ability of communities and the nation’s infrastructure to…”
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    Journal Article
  4. 4

    Automated LULC map production using deep neural networks by Henry, Christopher J., Storie, Christopher D., Palaniappan, Muthu, Alhassan, Victor, Swamy, Mallikarjun, Aleshinloye, Damilola, Curtis, Andrew, Kim, Daeyoun

    Published in International journal of remote sensing (03-06-2019)
    “…This article presents an approach to automating the creation of land-use/land-cover classification (LULC) maps from satellite images using deep neural networks…”
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    Journal Article
  5. 5

    High-resolution semantically-consistent image-to-image translation by Sokolov, Mikhail, Henry, Christopher, Storie, Joni, Storie, Christopher, Alhassan, Victor, Turgeon-Pelchat, Mathieu

    Published 13-09-2022
    “…Deep learning has become one of remote sensing scientists' most efficient computer vision tools in recent years. However, the lack of training labels for the…”
    Get full text
    Journal Article