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About Remote Sensing: Deep TEC: Deep Transfer Learning With Ensemble Classifier For Road Extraction From UAV Imagery
This document discusses deep transfer learning techniques for road extraction from UAV imagery. It proposes a method called deep TEC that uses deep learning models pre-trained on a benchmark dataset to extract roads from new UAV images. Deep TEC has two stages: 1) It uses GAN, CycleGAN and FCN models pre-trained on a literature dataset to extract roads from new images, testing their ability to generalize. 2) It performs ensemble classification on the results to get the final road segmentation. The method achieves an average quality of 71%, 10% higher than other deep learning baselines, showing it can efficiently extract road networks.
Detailed Information
| Author: | ['Daniel Garcia Murillo'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 19 |
| Language: | English |
| Format: | |
| Price: | FREE |
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