This research introduces a novel approach to cross-view geo-localization that uses natural language descriptions to identify locations from satellite imagery or map databases.

• Enables location identification based on text descriptions rather than just images
• Critical for applications in pedestrian navigation and emergency response
• Creates a bridge between verbal descriptions and visual location data
• Enhances security operations through improved location identification

For security professionals, this technology offers powerful capabilities for surveillance, monitoring, and emergency response teams who often work with verbal descriptions from witnesses or field reports.

Where am I? Cross-View Geo-localization with Natural Language Descriptions