Marinelli, Daniele

Marinelli, Daniele  

Ingegneria e scienza dell'Informaz (29/10/12-)  

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Risultati 1 - 19 di 19 (tempo di esecuzione: 0.049 secondi).
Titolo Anno di pubblicazione Autori Unitn File
An Approach to Tree Detection Based on the Fusion of Multitemporal LiDAR Data 1-gen-2019 Marinelli, DanieleParis, ClaudiaBruzzone, Lorenzo
Artificial Intelligence and big data technologies for Copernicus data: The EXTREMEEARTH project 1-gen-2021 Lorenzo BruzzoneClaudia ParisGiulio WeikmannDaniele Marinelli +
Automatic Pleural Line Extraction and COVID-19 Scoring from Lung Ultrasound Data 1-gen-2020 Carrer, LeonardoDonini, ElenaMarinelli, DanieleZanetti, MassimoMento, FedericoDemi, LibertarioBovolo, FrancescaBruzzone, Lorenzo +
An Automatic Technique for Deciduous Trees Detection in High Density Lidar Data Based on Delaunay Triangulation 1-gen-2019 Marinelli, DanieleParis, ClaudiaBruzzone, Lorenzo
Crop Water Availability Mapping in the Danube Basin Based on Deep Learning, Hydrological and Crop Growth Modelling 1-gen-2022 Weikmann, GiulioParis, ClaudiaMarinelli, DanieleBruzzone, Lorenzo +
ExtremeEarth Meets Satellite Data From Space 1-gen-2021 Paris, ClaudiaMarinelli, DanieleWeikmann, GiulioBruzzone, Lorenzo +
Forest Change Detection in Lidar Data Based on Polar Change Vector Analysis 1-gen-2020 Daniele MarinelliLorenzo Bruzzone +
Fusion of high and very high density LiDAR data for 3D forest change detection 1-gen-2016 Marinelli, DanieleParis, ClaudiaBruzzone, Lorenzo
Fusion of Multitemporal LiDAR Data for Individual Tree Crown Parameter Estimation on Low Density Point Clouds 1-gen-2018 D. MarinelliC. ParisL. Bruzzone
A high resolution burned area detector for Sentinel-2 and Landsat-8 1-gen-2019 Zanetti M.Marinelli D.Bertoluzza M.Saha S.Bovolo F.Bruzzone L. +
Hyperspectral Remote Sensing 1-gen-2021 Marinelli, DanieleBovolo, FrancescaBruzzone, Lorenzo
A Novel Approach to 3-D Change Detection in Multitemporal LiDAR Data Acquired in Forest Areas 1-gen-2018 Marinelli, DanieleParis, ClaudiaBruzzone, Lorenzo
A novel change detection method for multitemporal hyperspectral images based on a discrete representation of the change information 1-gen-2017 Marinelli, DanieleBovolo, FrancescaBruzzone, Lorenzo
A Novel Change Detection Method for Multitemporal Hyperspectral Images Based on Binary Hyperspectral Change Vectors 1-gen-2019 Marinelli, DanieleBovolo, FrancescaBruzzone, Lorenzo
A novel method for unsupervised multiple Change Detection in hyperspectral images based on binary Spectral Change Vectors 1-gen-2017 Marinelli, DanieleBovolo, FrancescaBruzzone, Lorenzo
A review of change detection in multitemporal hyperspectral images: Current techniques, applications, and challenges 1-gen-2019 Marinelli D.Bruzzone L.Bovolo F. +
A System for Burned Area Detection on Multispectral Imagery 1-gen-2022 Zanetti M.Saha S.Marinelli D.Costantini M.Bovolo F.Bruzzone L. +
A Triangulation-Based Technique for Tree-Top Detection in Heterogeneous Forest Structures Using High Density LiDAR Data 1-gen-2021 Marinelli, DanieleParis, ClaudiaBruzzone, Lorenzo
An Unsupervised Change Detection Method for Lidar Data in Forest Areas Based on Change Vector Analysis in the Polar Domain 1-gen-2018 D. MarinelliL. Bruzzone +