LATINI, DANIELE

LATINI, DANIELE  

Dipartimento di Ingegneria Elettronica  

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Risultati 1 - 20 di 21 (tempo di esecuzione: 0.028 secondi).
Data di pubblicazione Titolo Autore(i) Tipo File
1-gen-2021 A New User Oriented Platform to Develop AI for the Estimation of Bio-Geophysical Parameters from EO Data de Laurentiis, L; de Santis, D; Latini, D; Schiavon, G; Marin, A; Pace, G; Rossini, K; Rossi, C; Marra, S; Loekken, S; Del Frate, F Intervento a convegno
1-gen-2018 Automatic procedure for coastline extraction exploiting full-pol SAR imagery and AANN-PCNN processing chain De Laurentiis, L; Latini, D; Del Frate, F; Schiavon, G Intervento a convegno
1-gen-2024 BRDF Computation and Modeling Through the Use of UAS Petracca, I; Latini, D; Giacomo, Md; Niro, F; Bonafoni, S; Del Frate, F; Schiavon, G Intervento a convegno
1-gen-2019 COSMO-SkyMed FOR UNSUPERVISED URBAN CHANGE DETECTION USING RADAR BACKSCATTERING AND INTERFEROMETRIC COHERENCE Benedetti, A; Picchiani, M; Latini, D; Del Frate, F; Schiavon, G Intervento a convegno
1-gen-2017 EO-based Products in Support of Urban Heat Fluxes Estimation Marconcini, M; Heldens, W; DEL FRATE, F; Latini, D; Mitraka, Z; Lindberg, F Intervento a convegno
1-gen-2024 Hyperspectral image super-resolution: task-based evaluation Kawulok, M; Kowaleczko, P; Ziaja, M; Nalepa, J; Kostrzewa, D; Latini, D; De Santis, D; Salvucci, G; Petracca, I; Pegna, Vl; Bartalis, Z; Frate, Fd Articolo su rivista
1-gen-2021 Integration of IEM_B, ISMN and Sar Sentinel-1 Data for Accurate Soil Moisture Estimation Using Neural Networks de Laurentiis, L; Latini, D; Schiavon, G; Del Frate, F Intervento a convegno
1-gen-2020 Long-term grass biomass estimation of pastures from satellite data Clementini, C; Pomente, A; Latini, D; Kanamaru, H; Vuolo, Mr; Heureux, A; Fujisawa, M; Schiavon, G; Del Frate, F Articolo su rivista
1-gen-2016 Multi-frequency and polarimetric quantitative analysis of the Gulf of Mexico oil spill event comparing different SAR systems Latini, D; Del Frate, F; Jones, Ce Articolo su rivista
1-gen-2020 Multi-Pol Sar Data Fusion for Coastline Extraction by Neural Networks Chaining De Laurentiis, L; Latini, D; Schiavon, G; Del Frate, F Intervento a convegno
1-gen-2017 On Neural Networks Algorithms for Oil Spill Detetction when Applied to C- and X-Band SAR DEL FRATE, F; Latini, D; Scappiti, V Intervento a convegno
1-gen-2016 RFIDrone: preliminary experiments and electromagnetic models Longhi, M; Casati, G; Latini, D; Carbone, F; DEL FRATE, F; Marrocco, G Intervento a convegno
1-gen-2016 RFIDrones: Preliminary Experiments and Electromagnetic Models Longhi, M; Casati, G; Latini, D; Carbone, F; Del Frate, F; Perrone, A; Schiavon, G; Marrocco, G Intervento a convegno
1-gen-2021 SAR data fusion and a novel joint use of neural networks for coastline extraction De Laurentiis, L; Del Frate, F; Latini, D; Schiavon, G Articolo su rivista
1-gen-2017 The Interrogation Footprint of RFID-UAV: Electromagnetic Modeling and Experimentations Casati, G; Longhi, M; Latini, D; Carbone, F; Amendola, S; Del Frate, F; Schiavon, G; Marrocco, G Articolo su rivista
1-gen-2024 Toward a standard approach for UAS-based multiangular dataset collection for BRDF analysis Petracca, I; Latini, D; Di Giacomo, M; Niro, F; Bonafoni, S; Del Frate, F Articolo su rivista
1-gen-2021 Towards an Integrate Solution Fusing Satellite and In-Situ Measurements for a Full-Assessment of Transport Infrastructures Clementini, C; Del Frate, F; Latini, D; Schiavon, G Intervento a convegno
1-gen-2021 UAV-Based Observations for Surface BRDF Characterization Latini, D; Petracca, I; Schiavon, G; Niro, F; Casadio, S; Del Frate, F Intervento a convegno
1-gen-2023 Use of Unmanned Aerial System for the Characterization of the Surface Reflectance Distribution Function Petracca, I; Latini, D; Bonafoni, S; Del Frate, F; Di Giacomo, M; Niro, F; Casadio, S; Schiavon, G Intervento a convegno
1-gen-2020 Using neural networks for change detection and classification of COSMO-SkyMed Images Benedetti, A; Porzio, L; Schiavon, G; Latini, D; Fasano, L; Del Frate, F Intervento a convegno