Multisource data classification using a hybrid semi-supervised learning scheme

Keyphrases

• Multi-source Data 100%
• Semi-supervised Learning 100%
• Discrete Attributes 100%
• Continuous Attributes 100%
• Learning Scheme 100%
• Data Classification 100%
• Statistical Model 50%
• Soil Type 50%
• Population Density 50%
• Statistical Estimation 50%
• Image Features 50%
• Multi-source 50%
• Parameter Estimation 50%
• Mixture Model 50%
• Semi-supervised Method 50%
• Challenging Tasks 50%
• Continuous Distribution 50%
• Road Density 50%
• Spectral Measurement 50%
• Attribute Data 50%
• Discrete Distribution 50%
• Remote Sensing Image 50%
• Thematic Class 50%
• Overall Classification Accuracy 50%
• Wetland Elevation 50%

Computer Science

• Semisupervised Learning 100%
• Data Classification 100%
• Learning Scheme 100%
• Discrete Attribute 50%
• Remote Sensing Image 50%
• image feature 50%
• Classification Accuracy 50%
• Attribute Data 50%
• Statistical Model 50%