Applications of Convolutional Neural Network for Classification of Land Cover and Groundwater Potentiality Zones
In the field of groundwater engineering, a convolutional neural network (CNN) has become a great role to assess the spatial groundwater potentiality zones and land use/land cover changes based on remote sensing (RS) technology. CNN can be offering a great potential to extract complex spatial feature...
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| Main Author: | Asnakew Mulualem Tegegne |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-01-01
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| Series: | Journal of Engineering |
| Online Access: | http://dx.doi.org/10.1155/2022/6372089 |
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