Aerial imagery pile burn detection using deep learning: The FLAME dataset

Keyphrases

• Luminosity 100%
• Pile Burning 100%
• Aerial Imagery 100%
• Deep Learning 100%
• Evaluation Dataset 100%
• Burned Area Detection 100%
• Machine Learning Testing 100%
• Firefighters 66%
• Video Frames 66%
• Fire Detection 66%
• Arizona 33%
• Evaluation Method 33%
• Pine Forest 33%
• Wildfire 33%
• Prescribed Burning 33%
• Natural Disasters 33%
• Fire Management 33%
• Classification Accuracy 33%
• Video Recording 33%
• Forest Resources 33%
• Modeling Algorithm 33%
• Infrared Camera 33%
• Binary Classification 33%
• Two-machine 33%
• Fire Modeling 33%
• Drone 33%
• Thermal Image 33%
• Machine Learning Problems 33%
• Video Classification 33%
• Artificial Neural Network Method 33%
• Downsampling 33%
• Fire Image Dataset 33%
• Leveraging Technology 33%
• Fire Segmentation 33%
• Fire Flame 33%
• Upsampling 33%
• Fire Detection Algorithm 33%
• Frame-based 33%
• Operating Force 33%
• U-Net 33%
• Segmentation Method 33%
• Management Strategies 33%
• Aerial Images 33%
• Heatmap 33%
• Up-down 33%

Agricultural and Biological Sciences

• Learning System 100%
• Machine Learning 100%
• Deep Learning Method 100%
• Fire Detection 75%
• Pinus 25%
• Prescribed Burning 25%
• Forest Resource 25%
• Neural Network 25%

Earth and Planetary Sciences

• Aerial Photography 100%
• Machine Learning 100%
• Arizona 25%
• Detritus 25%
• Prescribed Burning 25%
• Fire Management 25%
• Forest Resource 25%
• Natural Disaster 25%
• Management Strategy 25%
• Artificial Neural Network 25%
• U-Net 25%