Cloud-Removal-in-Satellite-Images-using-Conditional-Generative-Adversarial-Networks
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Chintan2108
Removing cloud cover in Sentinel-2 satellite images using only optical data and a novel augmented training approach using conditional GANs.
- [ ] Train the model using the new dataset as created in issue #4 - [ ] Compare the model performance, assess the generated images' quality using the stipulated...
* The network is sometimes adapting to the cloud shadows as ground features and the generated cloud-free images contain prominent shadows on the ground. Try to combine the clouds and...
* Currently the network is being trained on a single scene which has been rotated at 0, 90, -90 and 180 degrees. * Explore more augmentation strategies such as contrast...
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Removing cloud cover in Sentinel-2 satellite images using only optical data and a novel augmented training approach using conditional GANs.