Landscape Classification with Deep Neural Networks
The application of deep learning, specifically deep convolutional neural networks (DCNNs), to the classification of remotely-sensed imagery of natural landscapes has the potential to greatly assist in the analysis and interpretation of geomorphic processes. However, the general usefulness of deep le...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2018-07-01
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| Series: | Geosciences |
| Subjects: | |
| Online Access: | http://www.mdpi.com/2076-3263/8/7/244 |