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Developed an AI System based on Generative Adversarial Networks (GANs) to predict and remove the Clouds and Fog from an Image captured from Satellite. Gets input of a Satellite Image with Clouds and outputs a predicted landscape without clouds. Demo prototype for my internship at ISRO Hyderabad campus National Remote Sensing Centre. Actual project has been configured and tested through Bhuvan.

Python 100.00%
gan satellite-imagery machine-learning isro bhuvan satellite-image-processing cloud-removal fog-removal

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cloud-and-fog-removal-system-using-generative-adversarial-networks-satellite-image-processing's Issues

About the requirement of the environment

Hi, thanks a lot for your code about the paper and I have learnt a lot from it. I want to know about the requirement of the environment , such as the version of torch, the libraries we need to train the model.
Thank you very much and look forward your reply!

License.

Would you be kind to add the license to this repo. Please also let me know the dataset used for training and if the model is available to download.

Thank you for being helpful.

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