(Work in progress. Please have patience.)
Welcome to AI-RemoteSensing, a collection of Jupyter and Google Colaboratory notebooks dedicated to leveraging Artificial Intelligence (AI) in Remote Sensing applications. This repository serves as an open-source platform for researchers, educators, and professionals to explore, learn, and expand their knowledge in this exciting intersection of technologies.
This repository offers a wide variety of notebooks demonstrating the potential of AI in the field of remote sensing. Ranging from basic concepts to advanced applications, these notebooks cover various techniques such as image processing, classification, object detection, and much more.
Whether you are a student seeking educational materials, a researcher pursuing cutting-edge developments, or a professional exploring commercial applications, you will find these resources valuable.
The notebooks are organized into different categories based on the complexity and the application of the AI techniques:
- Beginner: These notebooks introduce basic concepts and techniques, perfect for those new to AI or remote sensing.
- Intermediate: Here you'll find notebooks that delve into more complex topics and applications.
- Advanced: These notebooks tackle cutting-edge research topics and complex real-world applications.
All notebooks are ready to run. You can execute them in your local Jupyter environment or directly in Google Colaboratory. Please ensure that you have the necessary libraries and dependencies installed.
Contributions to this repository are more than welcome. If you have a notebook you'd like to share, feel free to make a pull request. We appreciate any contributions that help to enrich this learning resource.
This project is licensed under the MIT License - see the LICENSE file for details. This means you're free to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the software, as long as you provide appropriate credit.
If you have any questions or suggestions, please open an issue on this repository. We'd love to hear your feedback and ideas to make this resource even better!