Q-A²NN: Quantized All-Adder Neural Networks for Onboard Remote Sensing Scene Classification

Computer Science

• Quantization (Signal Processing) 100%
• Neural Network 100%
• Scaling Factor 57%
• Classification Performance 14%
• Convolutional Neural Network 14%
• Classification Accuracy 14%
• Convolutional Layer 14%
• Power Consumption 14%
• Performance Degradation 14%
• Floating Point 14%
• Storage Overhead 14%
• Multiplication Operation 14%

Engineering

• Quantization (Signal Processing) 100%
• Adders 100%
• Scaling Factor 57%
• Convolutional Neural Network 14%
• Convolutional Layer 14%
• Electric Power Utilization 14%
• Classification Accuracy 14%
• Performance Degradation 14%
• Classification Performance 14%
• Floating Point 14%
• Downlink Data 14%