Mohanty, Sharada Prasanna; Czakon, Jakub; Kaczmarek, Kamil A.; Pyskir, Andrzej; Tarasiewicz, Piotr; Kunwar, Saket; Rohrbach, Janick; Luo, Dave; Prasad, Manjunath; Fleer, Sascha ; Göpfert, Jan Philip ; Tandon, Akshat ; Mollard, Guillaume; Rayaprolu, Nikhil; Salathe, Marcel; Schilling, Malte: Deep Learning for Understanding Satellite Imagery: An Experimental Survey. In: Frontiers in Artificial Intelligence. Jg.3. 2020
Inhalt
- 3. Dataset
- 4. Evaluation Metrics
- 5. Instance Segmentation Using Customized U-Net
- 6. Fast Learnings for Fast Mapping Using U-Net
- 7. Instance Segmentation Using Deeper U-Nets
- 8. Comparing an Adapted U-Net Architecture for Varying Depths
- 8.1. Pre-processing
- 8.2. Post-processing
- 8.3. Network Architecture
- 8.4. Training
- 8.5. Experiments and Results
- 9. Instance Segmentation using Mask R-Convolutional Neuronal Networks
- 10. Conclusion
- Data Availability Statement
- Author Contributions
- Funding
- Acknowledgments
- References