A Remote Sensing Spectral Index Guided Bitemporal Residual Attention Network for Wildfire Burn Severity Mapping

Keyphrases

• Remote Sensing 100%
• Wildfire 100%
• Spectral Indices 100%
• Bitemporal 100%
• Residual Attention Network 100%
• Burn Severity Mapping 100%
• Normalized Burn Ratio 100%
• Burned Area 75%
• Fire-prone Landscapes 50%
• U-Net 50%
• Severity Levels 50%
• Remote Sensing Image 25%
• Two-level 25%
• Machine Learning Techniques 25%
• Binary Classification 25%
• Induced Damage 25%
• Multi-class 25%
• Random Forest 25%
• Overall Accuracy 25%
• Support Vector Machine 25%
• Natural Ecosystems 25%
• Assessment Model 25%
• F1 Score 25%
• Intensive Method 25%
• Precision Evaluation 25%
• Attention Mechanism 25%
• Human Society 25%
• Prefire 25%
• Engineering Learning 25%
• Feature Engineering 25%
• Manual Labeling 25%
• Baseline Algorithm 25%
• Fully Convolutional Network 25%
• Burn Severity 25%
• Sentinel-2 25%
• Vanishing Gradient 25%
• Extreme Gradient Boosting 25%
• Feature Area 25%
• Binary Map 25%
• Mean Intersection over Union 25%
• Post-fire Restoration 25%
• Residual Block 25%
• Wildfire Causes 25%
• Post-fire Management 25%
• Training Stability 25%
• Prompt Evaluation 25%

Computer Science

• Attention (Machine Learning) 100%
• U-Net 100%
• Experimental Result 50%
• Support Vector Machine 50%
• Machine Learning Technique 50%
• Natural Ecosystem 50%
• Random Decision Forest 50%
• Assessment Model 50%
• Binary Classification 50%
• Fully Convolutional Network 50%
• Extreme Gradient Boosting 50%
• Feature Engineering 50%

Earth and Planetary Sciences

• Remote Sensing 100%
• U-Net 100%
• Machine Learning 50%
• Sentinel-2 50%
• Support Vector Machine 50%
• remote sensing imagery 50%
• Extreme Gradient Boosting 50%