GroupFormer for hyperspectral image classification through group attention

Computer Science

• Image Classification 100%
• Convolutional Neural Network 28%
• Training Sample 28%
• Range Dependency 28%
• Attention (Machine Learning) 28%
• Feature Extraction 14%
• classification result 14%
• Average Accuracy 14%
• Semantic Feature 14%
• Vision Transformer 14%
• Training Data 14%

Engineering

• Image Classification 100%
• Image Data 42%
• Convolutional Neural Network 28%
• Extractor 28%
• Redundant Information 14%
• Multiscale 14%
• Feature Extraction 14%
• Research Work 14%
• Level Feature 14%

Earth and Planetary Sciences

• Hyperspectral Image Classification 100%
• Hyperspectral Image 100%
• Pattern Recognition 25%
• Research Work 25%