FEW SHOT CROP MAPPING USING TRANSFORMERS AND TRANSFER LEARNING WITH SENTINEL-2 TIME SERIES: CASE OF KAIROUAN TUNISIA

no code implementations • XXIV ISPRS Congress 2022 • Mohamed Karim Keraani 1, Khalil Mansour 1, Bilel Khlaifia 2, Nesrine Chehata 3, *

In this paper, we present an approach to land cover mapping from Sentinel-2 (S-2) satellite image time series using deep learning methods in the context of few shots in agricultural areas which aims to learn a classifier to recognize unseen classes during training with limited labelled examples.

Classification Time Series +3