Road Extraction by Deep Residual U-Net
Abstract U-Net與residual單元結合的優勢： （1）residual units可以簡化深層網絡的訓練 （2）大量的skip connections促進了信息的傳播，可以設計出參數更好性能更好的網絡。 1.INTRODUCTION 道路提取：道路面積的提取和道路中心線的提取 道路面積提取前人工作： （1）shape index特徵 + SVM【11】 （2）使用概率SVM設計多級
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相關文章
- 1. Fully Convolutional Network for Automatic Road Extraction from Satellite Imagery
- 2. LiDAR Textbook & Automated Road Network Extraction
- 3. Stacked U-Nets with Multi-Output for Road Extraction
- 4. Deep Residual Learning for Image Recognition
- 5. How does deep residual learning work?
- 6. ResNet--Deep Residual Learning for Image Recognition
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- 9. 論文筆記：Deep Residual Learning
- 10. 【論文】Deep Pyramidal Residual Networks（譯）