activity
20172022
most citedDeep Recurrent Neural Networks for mapping winter vegetation quality coverage via multi-temporal SAR Sentinel-1

16 citations · 22 across the 5 of their papers we have counts for

collaborators

9 papers

eess.IV2022

Comparison of convolutional neural networks for cloudy optical images reconstruction from single or multitemporal joint SAR and optical images

Rémi Cresson, Nicolas Narçon, Raffaele Gaetano +4

With the increasing availability of optical and synthetic aperture radar (SAR) images thanks to the Sentinel constellation, and the explosion of deep learning, new methods have eme…

cs.CV20205 cited

Attentive Weakly Supervised land cover mapping for object-based satellite image time series data with spatial interpretation

Dino Ienco, Yawogan Jean Eudes Gbodjo, Roberto Interdonato +1

Nowadays, modern Earth Observation systems continuously collect massive amounts of satellite information. The unprecedented possibility to acquire high resolution Satellite Image T…

cs.LG2019

Object-based multi-temporal and multi-source land cover mapping leveraging hierarchical class relationships

Yawogan Jean Eudes Gbodjo, Dino Ienco, Louise Leroux +4

European satellite missions Sentinel-1 (S1) and Sentinel-2 (S2) provide at highspatial resolution and high revisit time, respectively, radar and optical imagesthat support a wide r…

cs.LG20191 cited

Supervised level-wise pretraining for recurrent neural network initialization in multi-class classification

Dino Ienco, Roberto Interdonato, Raffaele Gaetano

Recurrent Neural Networks (RNNs) can be seriously impacted by the initial parameters assignment, which may result in poor generalization performances on new unseen data. With the o…

cs.CV2018

Combining Sentinel-1 and Sentinel-2 Time Series via RNN for object-based land cover classification

Dino Ienco, Raffaele Gaetano, Roberto Interdonato +2

Radar and Optical Satellite Image Time Series (SITS) are sources of information that are commonly employed to monitor earth surfaces for tasks related to ecology, agriculture, mobi…

cs.CV2018

DuPLO: A DUal view Point deep Learning architecture for time series classificatiOn

Roberto Interdonato, Dino Ienco, Raffaele Gaetano +1

Nowadays, modern Earth Observation systems continuously generate huge amounts of data. A notable example is represented by the Sentinel-2 mission, which provides images at high spa…