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Deep TEC for UAV Road Extraction by Daniel Garcia Murillo is a document available to read on EtoBox.
What is Deep TEC for UAV Road Extraction about?
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 ac
- Author
- Daniel Garcia Murillo
- Language
- EN