Deep Learning-Based Semantic Segmentation of Urban Areas Using Heterogeneous Unmanned Aerial Vehicle Datasets

Computer Science

• Deep Learning 100%
• Image Segmentation 100%
• Unmanned Aerial Vehicle 100%
• segmentation accuracy 80%
• Network Segmentation 60%
• Data Type 40%
• Training Data 20%
• Data Source 20%
• Deep Learning Technique 20%
• Segmentation Performance 20%
• RGB Image 20%
• Remote Sensing Image 20%
• remote sensing imagery 20%

Engineering

• Deep Learning 100%
• Unmanned Aerial Vehicle 100%
• Data Type 40%
• RGB Image 20%
• Learning Technique 20%
• Atmospheric Condition 20%
• Flight Altitude 20%
• Sensing Imagery 20%
• Data Source 20%