TransRes: A Deep Transfer Learning Approach to Migratable Image Super-Resolution in Remote Urban Sensing

Keyphrases

• Source Area 100%
• Training Data 100%
• Transfer Learning Model 100%
• Urban Sensing 100%
• Image Super-resolution 100%
• Deep Transfer Learning 100%
• High-resolution 66%
• Super-resolution 66%
• Satellite Images 66%
• High Resolution Satellite Images 66%
• Sensing Applications 33%
• Recent Advances 33%
• Visual Information 33%
• Effective Model 33%
• Learning Framework 33%
• Urban Environment 33%
• Remote Sensing 33%
• Europe 33%
• Current Solution 33%
• Problem Resolution 33%
• Perceptual Error 33%
• Urban Characteristics 33%
• Training Quality 33%
• Adversarial Transfer Learning 33%
• Model Migration 33%
• Satellite Image Data 33%

Computer Science

• Learning Approach 100%
• super resolution 100%
• Satellite Image 100%
• Deep Transfer Learning 100%
• Training Data 75%
• Collected Data 25%
• Visual Informations 25%
• Application Scenario 25%
• Urban Environment 25%
• Learning Framework 25%
• Transfer Learning 25%

Earth and Planetary Sciences

• Satellite Image 100%
• Remote Sensing 25%
• State of the Art 25%
• Europe 25%
• Transferring 25%
• Satellite Imagery 25%