# Axion Foundation Model
**World's First Petabyte-Scale Satellite MCP**
**86.66% mIoU Accuracy | 10K+ Downloads**
## Overview
Axion is a breakthrough SAR-to-Optical foundation model that transforms radar imagery into crystal-clear optical views—seeing through clouds, storms, and darkness. Built on TerraMind's powerful encoder with our novel adaptive decoder architecture (DARN), Axion achieves state-of-the-art performance on GeoBench benchmarks.
## The Problem
**70% of Earth observation time is lost to cloud cover.** Critical decisions in disaster response, agriculture, and climate monitoring can't wait for clear skies.
## The Solution
Axion leverages Synthetic Aperture Radar (SAR) data to provide 24/7 all-weather monitoring. Our foundation model:
- Processes SAR imagery through clouds, rain, and darkness
- Generates multiple modalities simultaneously (RGB, DEM, LULC, NDVI)
- Achieves 86.66% mIoU accuracy (+5.56 points above state-of-the-art)
- Delivers real-time actionable intelligence
## Architecture
```
Input: SAR Radar Data (Sentinel-1, DEM, coordinates)
↓
[TerraMind Encoder]
- Multi-modal tokenization
- Pixel-level and token-level input
- Spatial correlation learning
↓
[DARN Adaptive Decoder] ← Our Novel Contribution
- Cross Entropy Loss optimization
- Mask token prediction
- Multi-modal output generation
↓
Output: Optical-quality imagery + multi-modal data
```
## Performance
### GeoBench Benchmark Results
- **mIoU Accuracy:** 86.66%
- **Improvement:** +5.56 percentage points over baseline UPerNet
- **Beats:** U-Net and all its derivatives
- **Validated:** ESA-endorsed benchmark for geospatial AI
### Key Metrics
- **Downloads:** 10,000+
- **Active Researchers:** 3,000+
- **Coverage:** 70% of previously invisible Earth
## Model Access
### ⚠️ IMPORTANT: MCP Server Exclusive Features
The Axion foundation model is available through two deployment options:
#### 1. AWS Raw Inference (Limited)
- **Access:** Direct neural network testing
- **Use Case:** Research, experimentation, model exploration
- **Features:** Raw model predictions only
- **Limitations:** No data processing pipeline, no analysis tools
#### 2. MCP Server (Full Platform) ⭐
- **Access:** Complete end-to-end platform
- **Use Case:** Production deployment, AI agent integration
- **Exclusive Features:**
- Automated SAR data acquisition and preprocessing
- Multi-modal output processing
- Real-time analysis and insights generation
- AI agent natural language interface
- Complete satellite intelligence platform
- Production-ready deployment
**The full Axion foundation model experience with data processing, analysis, and deployment tools is ONLY available through our hosted MCP server.**
## Output Modalities
Axion generates all of these simultaneously from a single SAR input:
1. **RGB Optical Imagery** - Crystal-clear visual representation
2. **Sentinel-2 L2A Bands** - Multi-spectral analysis
3. **Sentinel-1 RTC** - Processed radar data
4. **Digital Elevation Model (DEM)** - Terrain elevation mapping
5. **LULC (Land Use/Land Cover)** - Classification maps
6. **NDVI (Vegetation Index)** - Agricultural monitoring
## Applications
### 🚨 Disaster Response
Monitor floods, fires, and hurricanes in real-time through any weather condition.
### 🌾 Precision Agriculture
Track crop health, soil moisture, and field conditions continuously without waiting for clear skies.
### 🌍 Climate Intelligence
Uninterrupted monitoring of deforestation, ice dynamics, and environmental changes.
### 🏙️ Urban Planning
Analyze infrastructure development and urban sprawl with consistent coverage.
### 🛡️ Defense & Security
Maintain persistent situational awareness through all weather conditions.
### 🌊 Maritime Monitoring
Track vessel movements and coastal changes across any maritime environment.
## Research
**Paper Status:** Under review at CVPR 2026
**Title:** "DARN: Dynamic Adaptive Residual Network for SAR-to-Optical Translation"
**Innovation:** Novel adaptive decoder architecture that outperforms U-Net baselines
## Integration
### For Researchers (AWS)
```bash
# Test raw model inference
# Limited to neural network outputs only
aws sagemaker invoke-endpoint --endpoint-name axion-foundation-model ...
```
### For Production (MCP Server)
```typescript
// Full platform access with AI agent integration
import { AxionMCP } from '@axion-orbital/mcp-server';
const axion = new AxionMCP();
const result = await axion.analyze({
location: [lat, lon],
modalities: ['rgb', 'ndvi', 'lulc'],
timeRange: '2025-01-01/2025-01-31'
});
```
**Note:** The MCP server provides the complete solution with data processing, model inference, and analysis tools—everything you need for satellite intelligence in one package.
## Why This Matters
- **70%** of Earth is invisible to optical satellites due to cloud cover
- **24/7** all-weather monitoring is now possible
- **Real-time** critical decisions can't wait for clear skies
- **86.66%** accuracy surpasses all existing architectures
## License
Research Model: Open for academic use
MCP Server: Production deployment requires licensing
## Citation
```bibtex
@inproceedings{axion2026,
title={DARN: Dynamic Adaptive Residual Network for SAR-to-Optical Translation},
author={Axion Orbital Team},
booktitle={CVPR},
year={2026}
}
```
---
**Ready to see through clouds?**
🔬 [Run Raw Inference on AWS](#)
🚀 [Access Full MCP Server](https://axionorbital.space)
