Classification trees for aquatic vegetation community prediction from imaging spectroscopy

Keyphrases

• Imaging Spectroscopy 100%
• Classification Tree 100%
• Community Prediction 100%
• Aquatic Vegetation 100%
• Vegetation Community 100%
• Submerged Aquatic Vegetation 66%
• Historic Photographs 66%
• Ground Reference 66%
• Image Data 33%
• Overall Accuracy 33%
• Image Classification 33%
• Training Data 33%
• High Variability 33%
• Knowledge Transfer 33%
• One Solution 33%
• Unlabeled Data 33%
• Environmental Variability 33%
• Transfer Learning Model 33%
• Extension Method 33%
• Range of Variability 33%
• Data Variability 33%
• Classifier Training 33%
• Plant Canopy 33%
• High Normal 33%
• Non-normal Distribution 33%
• Stable Performance 33%
• Remote Sensing Application 33%
• Robust Classifier 33%
• Water Column Depth 33%
• Percent Cover 33%
• Signature Extension 33%
• Ensemble Classification 33%
• Ensemble Classifier 33%
• Learning Classifiers 33%
• Knowledge Transferability 33%
• Unsupervised Transfer Learning 33%

Computer Science

• Reference Data 100%
• Classification Tree 100%
• Knowledge Transfer 100%
• Learning Technique 50%
• Normal Distribution 50%
• Training Dataset 50%
• Unlabeled Data 50%
• Transfer Learning 50%
• Image Classification 50%
• ensemble classifier 50%

Earth and Planetary Sciences

• Aquatic Vegetation 100%
• Water Column 33%
• Normal Density Functions 33%
• Image Classification 33%
• Remote Sensing Application 33%
• Regional Geography 33%