Land monitoring system: Comparison of traditional machine learning and U-Net convolutional neural networks approaches applied to semantic segmentation of drone imagery
Publication Type
Journal Article
Publication Date (Issue Year)
2023
Journal Name
Proceedings of 2023 2nd International Conference on Intelligent Computing and Next Generation Networks, ICNGN
Abstract
Abstract
Keywords
Keywords
Rsif Scholar Name
Adama Coulibaly
Thematic Area
ICTs Including Big Data and Artificial Intelligence
Africa Host University (AHU)
University of Gaston Berger (UGB), Senegal
Recommended Citation
Coulibaly, A. (2023). Land monitoring system: Comparison of traditional machine learning and U-Net convolutional neural networks approaches applied to semantic segmentation of drone imagery. Proceedings of 2023 2nd International Conference on Intelligent Computing and Next Generation Networks, ICNGN, 2023 https://doi.org/10.1109/ICNGN59831.2023.10396752
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