Comparison of Semantic Segmentation of Point Clouds Obtained from Different Sensors Using Deep Learning

Keyphrases

• Deep Learning 100%
• Overall Accuracy 100%
• Dublin 100%
• Point Cloud Segmentation 100%
• Segmentation Algorithm 50%
• Precision-recall 50%
• Computer Vision 50%
• Evaluation Metrics 50%
• Deep Learning Methods 50%
• F1 Score 50%
• Image Processing 50%
• Aggregator 50%
• Airborne Laser Scanning Data 50%
• Local Features 50%
• Terrestrial Laser Scanning Data 50%
• Score Accuracy 50%

Earth and Planetary Sciences

• Image Processing 100%
• Computer Vision 100%
• Terrestrial Laser Scanning 100%
• Airborne Laser Scanning 100%
• Random Sampling 100%

Engineering

• Point Cloud 100%
• Using Sensor 100%
• Deep Learning Method 100%
• Metrics 33%
• Image Processing 33%
• Computervision 33%
• Aggregator 33%