Cloud and Fog removal System using Generative Adversarial Networks - Satellite Image Processing

📜 Description:

Optimized ISRO's pre-existing computer vision models to remove clouds and fog from satellite images. Achieved 84% accuracy, enhancing image clarity. Configured and tested the system through Bhuvan during my internship at ISRO's NRSC, Hyderabad.

Sample Demo:

Demo 1:

Demo 2:

Fog Removal Demo:

👦 Developed By:

Akash Ramjyothi

               ☎️ PH:+91 8939928002.

📜 Research Paper published:

https://hal.archives-ouvertes.fr/hal-03462652

📜 Internship Final Report link:

https://drive.google.com/file/d/1huYYi0UTJC2ODtjjyxIQqs8vwjzXRDTL/view?usp=sharing

💥 How to Contribute?

• Take a look at the Existing Issues or create your own Issues!
• Wait for the Issue to be assigned to you after which you can start working on it.
• Fork the Repo and create a Branch for any Issue that you are working upon.
• Create a Pull Request which will be promptly reviewed and suggestions would be added to improve it.
• Add Screenshots to help me know what this Code is all about.

🌐 References Used:

• https://arxiv.org/abs/2012.12180
• https://ieeexplore.ieee.org/document/8519033
• https://openaccess.thecvf.com/content_WACV_2020/papers/Sarukkai_Cloud_Removal_from_Satellite_Images_using_Spatiotemporal_Generator_Networks_WACV_2020_paper.pdf