# magellan
**Repository Path**: mirrors_ultralytics/magellan
## Basic Information
- **Project Name**: magellan
- **Description**: Earth observation software powered by Machine Learning (ML). Viewable in Google Maps and WebGL Earth.
- **Primary Language**: Unknown
- **License**: AGPL-3.0
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No
## Statistics
- **Stars**: 0
- **Forks**: 0
- **Created**: 2021-10-22
- **Last Updated**: 2026-05-17
## Categories & Tags
**Categories**: Uncategorized
**Tags**: None
## README
# 📜 Introduction
Welcome to the Ultralytics open-source Earth observation repository! This space showcases innovative software developed by Ultralytics, demonstrating the power of **Machine Learning (ML)** in geospatial analysis and Earth observation. Explore our range of cutting-edge projects on the [Ultralytics website](https://www.ultralytics.com/).
[](https://github.com/ultralytics/magellan/actions/workflows/format.yml)
[](https://discord.com/invite/ultralytics)
[](https://community.ultralytics.com/)
[](https://reddit.com/r/ultralytics)
# 🌍 Project Description
The [Ultralytics Magellan Project](https://github.com/ultralytics/magellan) pioneers the integration of **ML** with Earth observation data. This project enables users to visualize and interact with ML-derived insights from geospatial data directly on platforms like [Google Maps](https://www.google.com/maps) and [WebGL Earth](https://www.webglearth.com/), adding a dynamic dimension to data visualization and analysis in [computer vision](https://www.ultralytics.com/glossary/computer-vision-cv).
- Visualize on **Google Maps**: [View Google Maps Visualization](https://storage.googleapis.com/neutronmap/neutronmap1/tileOverlayLarge.html)
- Explore on **WebGL Earth**: [Interact with WebGL Earth](http://storage.googleapis.com/neutronmap/neutronmap1/webGLEarth.html)
# 🛠️ Requirements
To leverage the full capabilities of the Magellan project, ensure you have the following prerequisites:
- **MATLAB**: Version 2018a or newer. Visit the official [MATLAB Software page](https://www.mathworks.com/products/matlab.html) for installation details and support.
- **Supporting Utilities**: Clone the common functions repository using `$ git clone https://github.com/ultralytics/functions-matlab`. After cloning, add it to your MATLAB path with `>> addpath(genpath('/path/to/functions-matlab'))`, replacing `/path/to/` with the actual directory.
- **MATLAB Toolboxes**: Install the `Statistics and Machine Learning Toolbox` and the `Signal Processing Toolbox`. These are essential for the project's [data analysis](https://www.ultralytics.com/glossary/data-analytics) and processing tasks.
# 🚀 Getting Started
Follow these steps to get started with the Magellan software:
1. **Set up Environment**: Ensure MATLAB and the required toolboxes are installed and the `functions-matlab` repository is added to your path as described in the Requirements section.
2. **Run Example Code**: Use the following MATLAB code snippet as a starting point. Add your specific code and comments to tailor it to your analysis needs.
```matlab
% Example MATLAB code for Magellan project
% Load your geospatial data
% data = load('your_data.mat');
% Preprocess the data if necessary
% processed_data = preprocess(data);
% Apply Machine Learning model (ensure model is trained or loaded)
% results = predict(model, processed_data);
% Visualize results using Magellan functions
% visualize_on_map(results);
disp('Magellan analysis complete. Check visualization output.');
```
3. **Advanced Usage**: For custom configurations or more complex scenarios, please refer to the specific function documentation within the repository or contact us for detailed guidance.
# 🖼️ Visualization Preview
Below is a preview of the kind of visualizations you can create with the Magellan project, showcasing ML insights overlaid on geographical maps.
# 🤝 Contribute
We thrive on community engagement! Your contributions help make Ultralytics open-source projects like Magellan even better. Check out our [Contributing Guide](https://docs.ultralytics.com/help/contributing/) to learn how you can get involved. We also value your feedback—please take a moment to fill out our [Survey](https://www.ultralytics.com/survey?utm_source=github&utm_medium=social&utm_campaign=Survey). Thank you 🙏 to everyone who contributes!
[](https://github.com/ultralytics/magellan/graphs/contributors)
# ©️ License
Ultralytics provides two licensing options to suit different needs:
- **AGPL-3.0 License**: An [OSI-approved](https://opensource.org/license/agpl-v3) open-source license ideal for students, researchers, and enthusiasts. It encourages open collaboration and sharing of knowledge. See the [LICENSE](https://github.com/ultralytics/magellan/blob/main/LICENSE) file for full details.
- **Enterprise License**: Tailored for commercial applications, this license allows for the integration of Ultralytics software and AI models into commercial products and services without the open-source obligations of AGPL-3.0. For commercial use cases, please contact us via [Ultralytics Licensing](https://www.ultralytics.com/license).
# 📬 Contact
Have questions, bug reports, or feature requests? We're here to help:
- **GitHub Issues**: For reporting bugs and requesting features, please visit [GitHub Issues](https://github.com/ultralytics/magellan/issues).
- **Discord Community**: Join our vibrant [Discord](https://discord.com/invite/ultralytics) server for discussions, support, and interaction with the Ultralytics team and other users.
