What are EO and SAR Imagery?

EO (Electro-Optical) images as snapshots taken with a regular camera but from space. These images are straightforward and visually intuitive, showing the Earth in colors and textures we're familiar with. On the other hand, SAR (Synthetic Aperture Radar) images don't rely on daylight or clear skies; instead, they use radar to 'see' through clouds and darkness, providing valuable data no matter the weather or time of day. Utilising the microwave portion of the electromagnetic spectrum allows SAR to penetrate through obstacles like clouds, rain, smoke, and foliage. 

However, SAR images are not as easy to understand at a glance—they present the world in a way that's unfamiliar and often challenging to interpret. This difference creates a unique opportunity for our hackathon: to bridge the gap between the all-weather, all-time reliability of SAR and the intuitive, easily understandable nature of EO images. Solving this challenge could significantly help in Data Augmentation for training new machine learning models, enhancing our understand of SAR image, and developing new algorithms.

![image](https://github.com/protocolbuffers/protobuf/assets/76432265/39743765-9fcc-4a96-8fc2-8b40fa0e2e3b)

To solve this problem, this hackathon encourages participants to develop solution to transfer style of SAR into EO Satellite Imagery.