9 citations · 11 across the 24 of their papers we have counts for
7 papers · 1 filter
CryoNet: A Deep Learning Framework for Multi-Modal Debris-Covered Glacier Mapping. A Case Study of the Poiqu Basin, Central Himalaya
Farzaneh Barzegar, Tobias Bolch, Norbert Kuehtreiber +1
Glaciers play a critical role as freshwater reserves and indicators of climate change, yet their automatic delineation, especially for debris-covered glaciers, remains challenging…
SEN12-WATER: A New Dataset for Hydrological Applications and its Benchmarking
Luigi Russo, Francesco Mauro, Alessandro Sebastianelli +2
Climate change and increasing droughts pose significant challenges to water resource management around the world. These problems lead to severe water shortages that threaten ecosys…
Quanv4EO: Empowering Earth Observation by means of Quanvolutional Neural Networks
Alessandro Sebastianelli, Francesco Mauro, Giulia Ciabatti +4
A significant amount of remotely sensed data is generated daily by many Earth observation (EO) spaceborne and airborne sensors over different countries of our planet. Different app…
Automatic Dataset Builder for Machine Learning Applications to Satellite Imagery
Alessandro Sebastianelli, Maria Pia Del Rosso, Silvia Liberata Ullo
Nowadays the use of Machine Learning (ML) algorithms is spreading in the field of Remote Sensing, with applications ranging from detection and classification of land use and monito…
Land Use and Land Cover Classification using a Human Group based Particle Swarm Optimization Algorithm with a LSTM classifier on hybrid-pre-processing Remote Sensing Images
R. Ganesh Babu, K. Uma Maheswari, C. Zarro +2
Land use and land cover (LULC) classification using remote sensing imagery plays a vital role in many environment modeling and land use inventories. In this study, a hybrid feature…
Application of DInSAR Technique to High Coherence Satellite Images for Strategic Infrastructure Monitoring
Tony De Corso, Luca Mignone, Alessandro Sebastianelli +6
In this paper the authors present and validate a procedure, which intends to combine the latest state of the art models in bridge monitoring with freely available satellite data. T…