Assessing the impact of training sample selection on accuracy of an urban classification: A case study in Denver, Colorado

Keyphrases

• Colorado 100%
• Training Impact 100%
• Denver 100%
• Non-urban 100%
• Urban Classification 100%
• Training Sample Selection 100%
• Training Data 60%
• Training Samples 60%
• Binary Classification 40%
• Complete Coverage 40%
• Decision Tree Classifier 40%
• Sampling Design 40%
• Equal Allocation 40%
• Urban Areas 20%
• Remote Sensing 20%
• Spatial Distribution 20%
• Metropolitan Areas 20%
• Class-specific 20%
• Urban Planning 20%
• Urban Design 20%
• Selection Strategy 20%
• Classification Performance 20%
• Classification Process 20%
• Producer's Accuracy 20%
• User's Accuracy 20%
• Sampling Accuracy 20%
• Area Allocation 20%
• Data Sampling 20%
• Multiple Repetitions 20%
• Sample Classification 20%
• Sample Allocation 20%
• Proportional Allocation 20%
• Class Two 20%
• Landsat Imagery 20%

Agricultural and Biological Sciences

• Remote Sensing 100%
• Case Study 100%
• Landsat 100%