Generating Synthetic Multispectral Satellite Imagery from Sentinel-2

no code implementations • 5 Dec 2020 • Tharun Mohandoss, Aditya Kulkarni, Daniel Northrup, Ernest Mwebaze, Hamed Alemohammad

Multi-spectral satellite imagery provides valuable data at global scale for many environmental and socio-economic applications.

BIG-bench Machine Learning Data Augmentation

Semantic Segmentation of Medium-Resolution Satellite Imagery using Conditional Generative Adversarial Networks

no code implementations • 5 Dec 2020 • Aditya Kulkarni, Tharun Mohandoss, Daniel Northrup, Ernest Mwebaze, Hamed Alemohammad

The generalization property of CNN is poor for satellite imagery because the data can be very diverse in terms of landscape types, image resolutions, and scarcity of labels for different geographies and seasons.

Image-to-Image Translation Land Cover Classification +3