22 citations · 73 across the 10 of their papers we have counts for
4 papers · 1 filter
LandCoverNet: A global benchmark land cover classification training dataset
Hamed Alemohammad, Kevin Booth
Regularly updated and accurate land cover maps are essential for monitoring 14 of the 17 Sustainable Development Goals. Multispectral satellite imagery provide high-quality and val…
Generating Synthetic Multispectral Satellite Imagery from Sentinel-2
Tharun Mohandoss, Aditya Kulkarni, Daniel Northrup +2
Multi-spectral satellite imagery provides valuable data at global scale for many environmental and socio-economic applications. Building supervised machine learning models based on…
Semantic Segmentation of Medium-Resolution Satellite Imagery using Conditional Generative Adversarial Networks
Aditya Kulkarni, Tharun Mohandoss, Daniel Northrup +2
Semantic segmentation of satellite imagery is a common approach to identify patterns and detect changes around the planet. Most of the state-of-the-art semantic segmentation models…
Proceedings of the ICLR Workshop on Computer Vision for Agriculture (CV4A) 2020
Yannis Kalantidis, Laura Sevilla-Lara, Ernest Mwebaze +3
This is the proceedings of the Computer Vision for Agriculture (CV4A) Workshop that was held in conjunction with the International Conference on Learning Representations (ICLR) 202…