Remote sensing applications of machine learning processes: satellite imagery road extraction using few shot segmentation
Road extraction from aerial images is a fundamental task in the field of remote sensing. Much of the deep learning models for road extraction rely on convolutional neural networks (CNNs) and their derivative architectures. CNNs are able to capture higher-level representations in the images’ raw pixe...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2023
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| Online Access: | https://hdl.handle.net/10356/168247 |