🌍 Satellite Image Enhancer
Transform low-quality satellite images into high-resolution, analysis-ready visuals using AI-powered enhancement models.
🚀 Why This Matters
Satellite imagery is a critical tool in agriculture, urban planning, disaster response, and climate monitoring — but low resolution can limit insights. Our platform solves this by applying cutting-edge super-resolution models to boost clarity and usefulness.
🛠️ What It Does
- 🛰️ AI Super-Resolution: Enhance satellite images using pretrained models like Real-ESRGAN and DSen2.
- 🎯 Support for Sentinel-2 & Landsat: Upload real satellite patches or custom images.
- 🌈 Semantic Segmentation: Visualize land cover features with automatic segmentation overlays.
- 🔍 Before/After Comparison: Instantly compare original vs enhanced imagery side by side.
- 📦 Downloadable Reports: Export enhanced images, overlays, and logs as a well-formatted PDF.
- 🧠 Smart Backend: Powered by FastAPI, Python, and deep learning pipelines.
- 🖼️ Smooth UI: Built in React with Tailwind and Framer Motion for clean, animated interactions.
💡 Who It's For
- Researchers working on land use, crop health, or deforestation.
- NGOs and environmental orgs monitoring remote regions.
- Students, educators, and analysts needing high-res imagery fast.
🧪 Tech Stack
- Frontend: React, TailwindCSS, Framer Motion
- Backend: FastAPI, Python, Real-ESRGAN, DSen2
- Extras: PDF generation, file upload, semantic segmentation, error logging
🧭 Vision
Make AI-powered satellite image enhancement accessible to everyone, from data scientists to field researchers, without requiring deep technical knowledge.
