Seuraa
Massimiliano Gargiulo
Massimiliano Gargiulo
Ph. D. - CIRA Italian Aerospace Research Centre
Vahvistettu sähköpostiosoite verkkotunnuksessa cira.it
Nimike
Viittaukset
Viittaukset
Vuosi
A CNN-based fusion method for feature extraction from sentinel data
G Scarpa, M Gargiulo, A Mazza, R Gaetano
Remote Sensing 10 (2), 236, 2018
1522018
Fast super-resolution of 20 m Sentinel-2 bands using convolutional neural networks
M Gargiulo, A Mazza, R Gaetano, G Ruello, G Scarpa
Remote Sensing 11 (22), 2635, 2019
502019
Integration of sentinel-1 and sentinel-2 data for land cover mapping using w-net
M Gargiulo, DAG Dell’Aglio, A Iodice, D Riccio, G Ruello
Sensors 20 (10), 2969, 2020
382020
Continuous Monitoring of the Flooding Dynamics in the Albufera Wetland (Spain) by Landsat-8 and Sentinel-2 Datasets
C Cavallo, MN Papa, M Gargiulo, G Palau-Salvador, P Vezza, G Ruello
Remote Sensing 11 (22), 3525, 2021
312021
A CNN-based fusion method for super-resolution of Sentinel-2 data
M Gargiulo, A Mazza, R Gaetano, G Ruello, G Scarpa
IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018
312018
Estimating the NDVI from SAR by convolutional neural networks
A Mazza, M Gargiulo, G Scarpa, R Gaetano
IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018
282018
A CNN-based super-resolution technique for active fire detection on Sentinel-2 data
M Gargiulo, DAG Dell’Aglio, A Iodice, D Riccio, G Ruello
2019 PhotonIcs & Electromagnetics Research Symposium-Spring (PIERS-Spring …, 2019
26*2019
Monitoring the morphological evolution of a reach of the Italian Po River using multispectral satellite imagery and stage data
C Cavallo, M Nones, MN Papa, M Gargiulo, G Ruello
Geocarto International 37 (25), 8579-8601, 2022
152022
Advances on CNN-based super-resolution of Sentinel-2 images
M Gargiulo
122019
Exploiting Sentinel-2 dataset to assess flow intermittency in non-perennial rivers
C Cavallo, MN Papa, G Negro, M Gargiulo, G Ruello, P Vezza
Scientific Reports 12 (1), 21756, 2022
72022
Active fire detection in multispectral super-resolved sentinel-2 images by means of sam-based approach
DAG Dell'Aglio, M Gargiulo, A Iodice, D Riccio, G Ruello
2019 IEEE 5th International forum on Research and Technology for Society and …, 2019
72019
Semantic Segmentation using Deep Learning: A case of study in Albufera Park, Valencia
M Gargiulo, DAG Dell’Aglio, A Iodice, D Riccio, G Ruello
2019 IEEE International Workshop on Metrology for Agriculture and Forestry …, 2019
52019
Fire Risk Analysis By Using Sentinel-2 Data: The Case Study Of The Vesuvius In Campania, Italy
DAG Dell’Aglio, M Gargiulo, A Iodice, D Riccio, G Ruello
2020 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2020), 4, 2020
22020
Electromagnetic Propagation Software Tool for Planning and Analyzing 5G Networks
M Gargiulo, A Iodice, D Riccio, G Ruello
2021 IEEE 6th International Forum on Research and Technology for Society and …, 2021
12021
Sentinel-1 Time-Series Analysis for Fires Monitoring using Google Earth Engine Tools
M Gargiulo, A Iodice, D Riccio, G Ruello
2021 IEEE 6th International Forum on Research and Technology for Society and …, 2021
12021
Data-fusion of satellite and ground sensors for river hydro-morphodynamics monitoring
M Nicolina Papa, M Nones, C Cavallo, M Gargiulo, G Ruello
EGU General Assembly Conference Abstracts, 20381, 2020
1*2020
Estimating the duration of flow status along non perennial rivers by satellite data
C Cavallo, MN Papa, G Negro, M Gargiulo, G Ruello, P Vezza
EGU24, 2024
2024
Assessing the Impact of Soil Contamination on Maize Plant Development using UAV-Based Multispectral Indices
M Gargiulo, C Savarese, F Tufano, S Parrilli, M Verrillo, V Cozzolino, ...
2023 International Conference on Unmanned Aircraft Systems (ICUAS), 6, 2023
2023
Using Sentinel-2 multispectral imagery to assess flow-intermittency in non‑perennial rivers
C Cavallo, MN Papa, G Negro, G Ruello, M Gargiulo, P Vezza
GC8-Hydro, 2023
2023
Deep Learning Approach for River Hydro-morphodynamics Monitoring using SAR Data
M GARGIULO, C CAVALLO, MN PAPA, G RUELLO, M NONES
OF THE INSTITUTE OF GEOPHYSICS POLISH ACADEMY OF SCIENCES, 23, 2022
2022
Järjestelmä ei voi suorittaa toimenpidettä nyt. Yritä myöhemmin uudelleen.
Artikkelit 1–20