Deep Learning-Based Semantic Segmentation of Urban Areas Using Heterogeneous Unmanned Aerial Vehicle Datasets
Deep learning techniques have recently shown remarkable efficacy in the semantic segmentation of natural and remote sensing (RS) images. However, these techniques heavily rely on the size of the training data, and obtaining large RS imagery datasets is difficult (compared to RGB images), primarily d...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-10-01
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| Series: | Aerospace |
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| Online Access: | https://www.mdpi.com/2226-4310/10/10/880 |