Integrating convolutional neural network and multiresolution segmentation for land cover and land use mapping using satellite imagery

Keyphrases

• Land Use Land Cover 100%
• Overall Accuracy 100%
• Satellite Imagery 100%
• Convolutional Neural Network 100%
• Multiresolution Segmentation 100%
• Neural Network Segmentation 100%
• Land Use Mapping 100%
• Site Area 66%
• Istanbul 33%
• Artificial Intelligence 33%
• Precision-recall 33%
• Drought Conditions 33%
• Geospatial 33%
• Land Cover Classification 33%
• F1 Score 33%
• Kappa Coefficient 33%
• Kocaeli 33%
• Land Cover Mapping 33%
• Earth Observation 33%
• Population Growth 33%
• CNN-based 33%
• Spatial Filtering 33%
• Map Production 33%
• CNN Model 33%
• Natural Resource Depletion 33%
• Land Monitoring 33%
• Patch Size 33%
• Urban Migration 33%
• Zurich 33%
• Population Resources 33%
• McNemar Test 33%
• Multiple Patches 33%
• Environmental Monitoring Program 33%
• Challenging Issues 33%
• Sentinel-2A Imagery 33%
• Monitoring Mission 33%

Earth and Planetary Sciences

• Land Cover 100%
• Satellite Imagery 100%
• Mapping Land Use 100%
• State of the Art 25%
• Patch Size 25%
• Environmental Monitoring 25%
• Urban Migration 25%
• Population Growth 25%
• Artificial Intelligence 25%