LAPINI, ALESSANDRO

LAPINI, ALESSANDRO  

Istituto di Fisica Applicata - IFAC  

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Titolo Data di pubblicazione Autore(i) File
Early-Season Crop Mapping on an Agricultural Area in Italy Using X-band Dual-Polarization SAR Satellite Data and Convolutional Neural Networks 1-gen-2022 Fontanelli, Giacomo; Lapini, Alessandro; Santurri, Leonardo; Pettinato, Simone; Santi, Emanuele; Ramat, Giuliano; Pilia, Simone; Baroni, Fabrizio; Tapete, Deodato; Cigna, Francesca; Paloscia, Simonetta
On the relationship between stickiness in DMRT theory and physical parameters of snowpack. Theoretical formulation and experimental validation with SNOWPACK snow model and X-band SAR data 1-gen-2022 Simone Pilia;Fabrizio Baroni;Alessandro Lapini;Simonetta Paloscia;Simone Pettinato;Emanuele Santi;Paolo Pampaloni;Mauro Valt;Fabiano Monti
Preliminary Studies on CIMR Antenna Pattern Brightness Temperature Compensation 1-gen-2022 Brogioni, Marco; Bosisio, Ada Vittoria; Lapini, Alessandro; Macelloni, Giovanni; Addamo, Giuseppe; Virone, Giuseppe; Di Nicolantonio, Walter; Grilli, Marco; Peverini, Oscar A.
COSMO-SkyMed Backscattering Simulations Using DMRT and SNOWPACK Models 1-gen-2021 S. Pilia; F. Baroni; A. Lapini; S. Paloscia; S. Pettinato; E. Santi; L. Santurri; M.Valt
CROP CLASSIFICATION AND BIOMASS ESTIMATE USING COSMO-SKYMED AND SENTINEL-1 DATA IN AN AGRICULTURAL TEST AREA IN CENTRAL ITALY 1-gen-2021 Lapini, A.; Fontanelli, G.; Baroni, F.; Paloscia, S.; Pettinato, S.; Pilia, S.; Ramat, G.; Santi, E.; Santurri, L.; Cigna, F.; Tapete, D.
Exploiting SAR Data For Classifying Agricultural Crop And Estimating Vegetation Biomass In Central Italy 1-gen-2021 A. Lapini; G. Fontanelli; F. Baroni; S. Paloscia; S. Pettinato; S. Pilia; G. Ramat; E. Santi; L. Santurri; F. Cigna; D. Tapete
INTEGRATION OF DMRT AND SNOWPACK MODELS FOR SIMULATING BACKSCATTERING AND COMPARISON WITH COSMO-SKYMED DATA 1-gen-2021 Baroni, F; Pilia, S; Lapini, A; Paloscia, S; Pettinato, S; Santi, E; Santurri, L; Valt, M
Mapping woody volume of mediterranean forests by using sar and machine learning: A case study in central Italy 1-gen-2021 Santi, E; Chiesi, M; Fontanelli, G; Lapini, A; Paloscia, S; Pettinato, S; Ramat, G; Santurri, L
Soil moisture mapping at high resolution by merging SMAP, Sentinel1 and COSMO SkyMed with the support of machine learning 1-gen-2021 Emanuele Santi; Fabrizio Baroni; Giacomo Fontanelli; Alessandro Lapini; Simonetta Paloscia; Simone Pettinato; Simone Pilia; Giuliano Ramat; Leonardo Santurri; Francesca Cigna; Deodato Tapete
Airborne multi-frequency microwave radiometric measurements in synergy with SAR data for the retrieval of soil moisture 1-gen-2020 Pilia, S.; Baroni, F.; Fontanelli, G.; Lapini, A.; Paloscia, S.; Pampaloni, P.; Pettinato, S.; Santi, E.; Santurri, L.; Tapete, D.; Cigna, F.
Application of Deep Learning to Optical and SAR Images for the Classification of Agricultural Areas in Italy 1-gen-2020 Lapini, A; Fontanelli, G; Pettinato, S; Santi, E; Paloscia, S; Tapete, D; Cigna, F
Comparison of Machine Learning Methods Applied to SAR Images for Forest Classification in Mediterranean Areas 1-gen-2020 Lapini, Alessandro; Pettinato, Simone; Santi, Emanuele; Paloscia, Simonetta; Fontanelli, Giacomo; Garzelli, Andrea
Google Earth Engine: Application of Algorithms for Remote Sensing of Crops in Tuscany (Italy) 1-gen-2020 Clemente J.P.; Fontanelli G.; Ovando G.G.; Roa Y.L.B.; Lapini A.; Santi E.
Google earth engine: Application of algorithms for remote sensing of crops in Tuscany (Italy) 1-gen-2020 Clemente J.P.; Fontanelli G.; Ovando G.G.; Roa Y.L.B.; Lapini A.; Santi E.
SAR multi-frequency observations of vegetation in agricultural and mountain areas 1-gen-2020 Paloscia S.; Fontanelli G.; Lapini A.; Santi E.; Pettinato S.; Notarnicola C.; Chiarito E.; Cuozzo G.; Tapete D.; Cigna F.
Reverse engineering modeling methods and tools: a survey 1-gen-2018 Buonamici, F; Carfagni, M; Furferi, R; Governi, L; Lapini, A; Volpe, Y
Reverse engineering of mechanical parts: A template-based approach 1-gen-2018 Buonamici, F; Carfagni, M; Furferi, R; Governi, L; Lapini, A; Volpe, Y