Chen-Yang-Liu/Text2Earth
[IEEE GRSM 2025 🔥] "Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model"
Text2Earth helps remote sensing professionals generate synthetic satellite and aerial imagery based on descriptive text. You provide a text description, like "Seven green circular farmlands," and it creates a corresponding image. This tool is for geospatial analysts, urban planners, and environmental scientists who need to visualize specific land features or scenarios without real-world photography.
165 stars.
Use this if you need to quickly generate specific remote sensing images from text descriptions, or modify existing images by describing changes to be made.
Not ideal if you require extremely high-fidelity, real-world accuracy for critical applications or if you lack programming experience.
Stars
165
Forks
8
Language
Python
License
Apache-2.0
Category
Last pushed
Jan 12, 2026
Commits (30d)
0
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