Computer Vision
Classification of Crop Fields through Satellite Image Time Series
By
Tiago Sanona
•
August 19th, 2021
Following the paper by Garnot et al., we utilize an altered version of the Transformer to classify crop fields from time series of satellite images. With this, we achieve better results than traditional methods (e. g. random forests) and with less resources than recurrent networks.