Integrating contextual information with per-pixel classification for improved land cover classification

Keyphrases

• Land Cover Classification 100%
• Contextual Information 100%
• Pixel Classification 100%
• Metropolitan Areas 66%
• Image Processing 33%
• Twin Cities 33%
• Minnesota 33%
• Classification Accuracy 33%
• Commercially Available 33%
• Processing Environment 33%
• User Needs 33%
• Urban Soil 33%
• Classification Methods 33%
• Mapping System 33%
• Maximum Likelihood Classification 33%
• Segmentation Method 33%
• Linkage Region 33%
• Bare Soil 33%
• Accuracy Improvement 33%
• Per-pixel 33%
• Student's T-test 33%
• Overall Accuracy 33%
• Edge Detection 33%
• Flexible Tool 33%
• Classification Results 33%
• Soil Category 33%
• Image Type 33%
• Classification Process 33%
• Optimal Classification 33%
• Contextual Approach 33%
• Post-classification 33%
• Classification Map 33%
• Region Growing 33%
• Object Classifier 33%
• Hybrid Segmentation 33%
• Homogeneous Objects 33%
• Centroid Linkage 33%

Computer Science

• Contextual Information 100%
• Pixel Classification 100%
• Edge Detection 33%
• Classification Technique 33%
• Image Processing 33%
• Object Classifier 33%
• maximum-likelihood 33%
• classification result 33%
• Classification Accuracy 33%
• Classification Process 33%

Agricultural and Biological Sciences

• Land Cover 100%
• Twins 50%