PS-1-CycleGAN
SAR-to-RGB-CycleGAN
This repository contains the implementation of a Cycle Generative Adversarial Network (CycleGAN) model for converting Synthetic Aperture Radar (SAR) satellite imagery to Photorealistic-RGB (PS-RGB) optical images.
Downloading the dataset:
Prerequisites:
- AWS Account (create one if you dont have one)
- Install awscli (Run this on bash/terminal depending on your OS)
pip install awscli
Procedure
- Create a data folder, inside which,Cceate 2 new directories SAR-Intensity & PS-RGB(optical images)
In SAR-Intensity folder execute:
aws s3 sync s3://spacenet-dataset/spacenet/SN6_buildings/train/AOI_11_Rotterdam . --exclude "*" --include "SAR-Intensity/*"
In PS-RGB folder execute:
aws s3 sync s3://spacenet-dataset/spacenet/SN6_buildings/train/AOI_11_Rotterdam . --exclude "*" --include "PS-RGB/*"
Presentation:
Notebook Links
Final Approach
Image prediction
Initial Analysis
Alternative Approach
Other resources on drive
Model and 5 images (as asked for results)
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