Optimizing land use classification using decision tree approaches

Mathematics

• Land Use 100%
• Decision tree 74%
• Spectrality 43%
• Reflectance 33%
• Remote Sensing Image 22%
• Land Cover 20%
• Rule Generation 20%
• Knowledge 17%
• Supervised Classification 17%
• Gini Index 16%
• Feature Space 15%
• Classification Rules 15%
• Spatial Data 15%
• Inaccurate 14%
• Pixel 14%
• Shannon Entropy 13%
• Classifier 13%
• Overlap 12%
• Class 10%
• Evaluate 9%
• Output 8%
• Interpretation 8%
• Form 4%

Engineering & Materials Science

• Land use 70%
• Decision trees 56%
• Remote sensing 30%
• Entropy 24%
• Pixels 21%
• Classifiers 20%