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About Proceedings 02 00325 v2
This document discusses a method for extracting road networks from high resolution satellite images using deep convolutional neural networks. It focuses on addressing color distortion issues in images from the GF-2 satellite. Semi-supervised learning is used to generate training data, and deep network layers are trained to identify multi-type roads under complex conditions with over 80% accuracy.
Detailed Information
| Author: | ['Vikas Kumar'] |
|---|---|
| Publication Year: | 2019 |
| Pages: | 6 |
| Language: | English |
| Format: | |
| Price: | FREE |
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