2 citations · 2 across the 3 of their papers we have counts for
3 papers
A class-driven hierarchical ResNet for classification of multispectral remote sensing images
Giulio Weikmann, Gianmarco Perantoni, Lorenzo Bruzzone
This work presents a multitemporal class-driven hierarchical Residual Neural Network (ResNet) designed for modelling the classification of Time Series (TS) of multispectral images…
Bayesian Modelling of Multi-Year Crop Type Classification Using Deep Neural Networks and Hidden Markov Models
Gianmarco Perantoni, Giulio Weikmann, Lorenzo Bruzzone
The temporal consistency of yearly land-cover maps is of great importance to model the evolution and change of the land cover over the years. In this paper, we focus the attention…
EuroCrops: A Pan-European Dataset for Time Series Crop Type Classification
Maja Schneider, Amelie Broszeit, Marco Körner
We present EuroCrops, a dataset based on self-declared field annotations for training and evaluating methods for crop type classification and mapping, together with its process of…