Nome |
# |
Mezzi aerei non convenzionali a volo autonomo per il rilievo fotogrammetrico in ambito archeologico, file e384c42e-1e91-d4b2-e053-9f05fe0a1d67
|
2.749
|
Archaeological site monitoring: UAV photogrammetry can be an answer, file e384c42e-24ad-d4b2-e053-9f05fe0a1d67
|
2.119
|
Training of Crisis Mappers and Map Production from Multi-sensor Data: Vernazza Case Study (Cinque Terre National Park, Italy), file e384c42e-244e-d4b2-e053-9f05fe0a1d67
|
1.696
|
UAV PHOTOGRAMMETRY WITH OBLIQUE IMAGES: FIRST ANALYSIS ON DATA ACQUISITION AND PROCESSING, file e384c42e-f379-d4b2-e053-9f05fe0a1d67
|
1.523
|
Digital photogrammetry: a standard approach to cultural heritage survey, file e384c42e-2044-d4b2-e053-9f05fe0a1d67
|
549
|
Sensors integration for smartphone navigation: performances and future challenges, file e384c42e-3867-d4b2-e053-9f05fe0a1d67
|
532
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Cartographic data harmonisation for a cross-border project development, file e384c42e-fb45-d4b2-e053-9f05fe0a1d67
|
513
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Deep learning for semantic segmentation of 3D point cloud., file e384c431-56da-d4b2-e053-9f05fe0a1d67
|
499
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AN INTEGRATED APPROACH FOR POLLUTION MONITORING: SMART ACQUIREMENT AND SMART INFORMATION, file e384c42f-0c14-d4b2-e053-9f05fe0a1d67
|
475
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The energy efficiency management at urban scale by means of integrated modelling, file e384c42e-7640-d4b2-e053-9f05fe0a1d67
|
472
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3D Modelling of trompe l’oeil decorated vaults using dense matching techniques, file e384c42e-2f64-d4b2-e053-9f05fe0a1d67
|
458
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Progetto pilota per la formazione di crisis mappers
e la produzione di mappe post evento da dati multisensore, file e384c42e-214f-d4b2-e053-9f05fe0a1d67
|
435
|
UAV Deployment Exercise for Mapping Purposes: Evaluation of Emergency Response Applications, file e384c42d-9354-d4b2-e053-9f05fe0a1d67
|
396
|
A Low-Cost Solution for the Monitoring of Air Pollution Parameters Through Bicycles, file e384c42f-88f0-d4b2-e053-9f05fe0a1d67
|
394
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TLS MODELS GENERATION ASSISTED BY UAV SURVEY, file e384c42e-fefe-d4b2-e053-9f05fe0a1d67
|
382
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Rilievo metrico 3D multiscala per l’indagine e la rappresentazione architettonica e ambientale dell’area archeologica di Susa, file e384c42e-36a9-d4b2-e053-9f05fe0a1d67
|
339
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An original application of image recognition based location in complex indoor environments, file e384c42f-719d-d4b2-e053-9f05fe0a1d67
|
327
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THE INFLUENCE OF FLIGHT PLANNING AND CAMERA ORIENTATION IN UAVs PHOTOGRAMMETRY.
A TEST IN THE AREA OF ROCCA SAN SILVESTRO (LI), TUSCANY, file e384c42f-6c34-d4b2-e053-9f05fe0a1d67
|
325
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UAV per la generazione di DSM multi-temporali per il monitoraggio delle dinamiche di ricostituzione post-incendio di aree boschive, file e384c42e-7e19-d4b2-e053-9f05fe0a1d67
|
297
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A Semantic Geodatabase for Environment Analysis - Extraction, Management and Sharing of Earth and Water Information in GIS., file e384c42e-523c-d4b2-e053-9f05fe0a1d67
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292
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Inertial sensors for smartphones navigation, file e384c42e-ad2f-d4b2-e053-9f05fe0a1d67
|
286
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3D roof model generation and analysis supporting solar system positioning, file e384c42f-ee98-d4b2-e053-9f05fe0a1d67
|
283
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3D model generation using oblique images acquired by UAV, file e384c42f-d625-d4b2-e053-9f05fe0a1d67
|
255
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Co-registration of multitemporal uav image datasets for monitoring applications: A new approach, file e384c42f-dc64-d4b2-e053-9f05fe0a1d67
|
229
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Positioning Techniques with Smartphone Technology: Performances and Methodologies in Outdoor and Indoor Scenarios, file e384c42f-efa9-d4b2-e053-9f05fe0a1d67
|
227
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Fotogrammetria Diretta con RPAS. Prime considerazioni e possibili sviluppi futuri, file e384c42f-593f-d4b2-e053-9f05fe0a1d67
|
215
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Studio e sviluppo di un GIS per la gestione della lotta dei grandi incendi secondo la direttiva INSPIRE, file e384c42e-7e18-d4b2-e053-9f05fe0a1d67
|
213
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DIRECT PHOTOGRAMMETRY USING UAV: TESTS AND FIRST RESULTS, file e384c42e-2df8-d4b2-e053-9f05fe0a1d67
|
182
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PRO-VISION: un sistema prototipale per l'analisi di visibilità in campo stradale, file e384c42e-3b08-d4b2-e053-9f05fe0a1d67
|
157
|
HBIM-GIS Integration: From IFC to CityGML Standard for Damaged Cultural Heritage in a Multiscale 3D GIS, file e384c431-7917-d4b2-e053-9f05fe0a1d67
|
137
|
Pro-Vision: un approccio innovativo per l’analisi della visibilità in ambito stradale. Test e risultati, file e384c42e-7ab0-d4b2-e053-9f05fe0a1d67
|
134
|
L’integrazione di tecniche fotogrammetriche e MMS nel rilievo metrico dei Beni Culturali, file e384c431-2d90-d4b2-e053-9f05fe0a1d67
|
123
|
Integrated Geophysics and Geomatics Surveys in the Valley of the Kings, file e384c431-a315-d4b2-e053-9f05fe0a1d67
|
121
|
Reliability of the geometric calibration of an hyperspectral frame camera, file e384c430-db32-d4b2-e053-9f05fe0a1d67
|
116
|
Rilevamento metrico 3D e modellazione HBIM per la manutenzione programmata del patrimonio architettonico., file e384c430-9225-d4b2-e053-9f05fe0a1d67
|
101
|
Point Cloud Semantic Segmentation Using a Deep Learning Framework for Cultural Heritage, file e384c431-89d6-d4b2-e053-9f05fe0a1d67
|
97
|
Uav direct georeferencing approach in an emergency mapping context. the 2016 central Italy earthquake case study, file e384c430-ef96-d4b2-e053-9f05fe0a1d67
|
89
|
HBIM in un database GIS 3D semantico, file e384c431-442c-d4b2-e053-9f05fe0a1d67
|
87
|
The RESCULT project: a new European Interoperable Database for improving the resilience of Cultural Heritage subject to disasters, file e384c432-3a23-d4b2-e053-9f05fe0a1d67
|
72
|
"Studio e monitoraggio del patrimonio costruito alla scala dei beni: modellazione 3D per l’analisi sismica della basilica di San Nicola a Tolentino.
Architectural scale studies and monitoring of built heritage: 3D modelling for the seismic analysis of the basilica of San Nicola in Tolentino", file e384c432-5cd3-d4b2-e053-9f05fe0a1d67
|
72
|
Fotogrammetria da UAV (Unmanned Aerial Vehicle): un'opportunità per il rilievo 3D multiscala, file e384c430-6469-d4b2-e053-9f05fe0a1d67
|
69
|
GIMPHI: a new integration approach for early impact assessment, file e384c42e-1177-d4b2-e053-9f05fe0a1d67
|
66
|
Rilievo 3D e monitoraggio strutturale per l'analisi post-sisma del complesso di S. Nicola a Tolentino (MC), file e384c42f-e976-d4b2-e053-9f05fe0a1d67
|
64
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A BENCHMARK FOR LARGE-SCALE HERITAGE POINT CLOUD SEMANTIC SEGMENTATION, file e384c432-867f-d4b2-e053-9f05fe0a1d67
|
63
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A European Interoperable Database (EID) to increase resilience of Cultural Heritage, file e384c430-2138-d4b2-e053-9f05fe0a1d67
|
60
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Bathymetric detection of fluvial environments through UASs and machine learning systems, file e384c432-95fd-d4b2-e053-9f05fe0a1d67
|
60
|
Manutenzione programmata per il patrimonio architettonico storico. Esperienze in corso (dal rilievo 3D ai programmi di intervento)., file e384c432-1e00-d4b2-e053-9f05fe0a1d67
|
59
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Il rilevamento di pareti rocciose da mezzo mobile mediante tecniche LiDAR, file e384c42e-1332-d4b2-e053-9f05fe0a1d67
|
56
|
Rilievo 3D e monitoraggio dinamico della Torre degli Smeducci e del campanile del Duomo vecchio a San Severino Marche, file e384c432-3eef-d4b2-e053-9f05fe0a1d67
|
54
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UAV data acquisition and analysis for a Cultural Landscape Heritage: the emergency area of the Vallone d’Elva., file e384c432-6374-d4b2-e053-9f05fe0a1d67
|
54
|
Detailed geological mapping in mountain areas using an unmanned aerial vehicle: application to the Rodoretto Valley, NW Italian Alps, file e384c42f-d127-d4b2-e053-9f05fe0a1d67
|
53
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High-level-of-detail semantic 3D GIS for risk and damage representation of architectural heritage, file e384c430-90e3-d4b2-e053-9f05fe0a1d67
|
53
|
Il rilievo metrico integrato della Valle dei Re: software open-source per la documentazione del patrimonio archeologico in Egitto, file e384c432-88b8-d4b2-e053-9f05fe0a1d67
|
52
|
Un benchmark per la segmentazione semantica di nuvole di punti di beni culturali, file e384c433-db3d-d4b2-e053-9f05fe0a1d67
|
51
|
A methodology for acquisition and processing of thermal data acquired by UAVs: a test about subfluvial springs’ investigations, file e384c42f-dc89-d4b2-e053-9f05fe0a1d67
|
47
|
UAV AND CLOSE-RANGE PHOTOGRAMMETRY TO SUPPORT GEO-MECHANICAL ANALYSIS IN SAFETY ROAD MANAGEMENT: THE “VALLONE D’ELVA” ROAD., file e384c432-85a5-d4b2-e053-9f05fe0a1d67
|
46
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Un nuovo approccio per la gestione delle risorse idriche sotterranee in ambito transfrontaliero: Prog. ALCOTRA-ALIRHYS, file e384c42e-33b2-d4b2-e053-9f05fe0a1d67
|
42
|
Un database europeo INSPIRE-compliant per migliorare la resilienza dei beni culturali, file e384c430-a3af-d4b2-e053-9f05fe0a1d67
|
42
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DEVELOPMENT OF AN INTEGRATED BIM-GIS MANAGEMENT TOOL FOR MAINTENANCE PLAN OF HISTORICAL HERITAGE, file e384c433-c159-d4b2-e053-9f05fe0a1d67
|
42
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GEOMATIC TECHNIQUES FOR THE OPTIMIZATION OF SKI RESOURCES, file e384c432-bac9-d4b2-e053-9f05fe0a1d67
|
39
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UAV PHOTOGRAMMETRY AND VHR SATELLITE IMAGERY FOR EMERGENCY MAPPING. THE OCTOBER 2020 FLOOD IN LIMONE PIEMONTE (ITALY), file e384c433-da32-d4b2-e053-9f05fe0a1d67
|
39
|
An Image-Based Approach for the Co-Registration of Multi-Temporal UAV Image Datasets, file e384c433-8065-d4b2-e053-9f05fe0a1d67
|
37
|
Planned maintenance for architectural heritage. Experiences in progress from 3D survey to intervention programmes through HBIM, file e384c432-eb15-d4b2-e053-9f05fe0a1d67
|
36
|
Nuove tecnologie di rapid mapping. Ricerche di soluzioni innovative ed esperienze formative., file e384c432-6803-d4b2-e053-9f05fe0a1d67
|
35
|
Reconnaissance of 2016 Central Italy Earthquake Sequence, file e384c430-7f52-d4b2-e053-9f05fe0a1d67
|
33
|
Esperienze didattiche e approfondimenti sui temi dell’HBIM e della realtà virtuale, file e384c432-39c9-d4b2-e053-9f05fe0a1d67
|
32
|
Ice Detection on Aircraft Surface Using Machine Learning Approaches Based on Hyperspectral and Multispectral Images, file e384c432-7534-d4b2-e053-9f05fe0a1d67
|
32
|
Armonizzazione di standard spaziali e normativa antisismica. Una proposta per la rappresentazione semantica 3D del complesso architettonico di Tolentino., file e384c432-78ba-d4b2-e053-9f05fe0a1d67
|
32
|
The energy efficiency management at urban scale by means of integrated modelling, file e384c433-3580-d4b2-e053-9f05fe0a1d67
|
32
|
DEVELOPMENT OF AN INTEGRATED BIM-GIS MANAGEMENT TOOL FOR MAINTENANCE PLAN OF HISTORICAL HERITAGE, file e384c433-4ccf-d4b2-e053-9f05fe0a1d67
|
32
|
Soluzioni FOSS per l’HBIM: interoperabilità con soluzioni commerciali, file e384c431-9739-d4b2-e053-9f05fe0a1d67
|
31
|
UAV IMAGES AND DEEP-LEARNING ALGORITHMS FOR DETECTING FLAVESCENCE DOREE DISEASE IN GRAPEVINE ORCHARDS, file e384c432-2e02-d4b2-e053-9f05fe0a1d67
|
30
|
Mappatura speditiva tridimensionale e multi-temporale mediante UAV. I casi di Pescara del Tronto e Accumoli, file e384c432-56ec-d4b2-e053-9f05fe0a1d67
|
29
|
Study and development of a GIS for fire-fighting activities based on INSPIRE directive, file e384c430-a48f-d4b2-e053-9f05fe0a1d67
|
28
|
Documenting cultural heritage in an INSPIRE-based 3D GIS for risk and vulnerability analysis, file e384c434-630c-d4b2-e053-9f05fe0a1d67
|
28
|
Progress on isprs benchmark on multisensory indoor mapping and positioning, file e384c431-055b-d4b2-e053-9f05fe0a1d67
|
26
|
3D MODELING of GIRIFALCO FORTRESS, file e384c431-925a-d4b2-e053-9f05fe0a1d67
|
24
|
ICE DETECTION on AIRPLANE WINGS USING A PHOTOGRAMMETRIC POINT CLOUD: A SIMULATION, file e384c432-fde9-d4b2-e053-9f05fe0a1d67
|
24
|
A didactic project for landscape heritage mapping in post-disaster management, file e384c42e-361e-d4b2-e053-9f05fe0a1d67
|
21
|
Strumenti e metodi geomatici per lo studio di un’antica cava etrusca, file e384c430-668e-d4b2-e053-9f05fe0a1d67
|
21
|
Strumenti GIS per la gestione del rischio di caduta massi, file e384c432-c03a-d4b2-e053-9f05fe0a1d67
|
21
|
Mapping Riparian Habitats of Natura 2000 Network (91E0*, 3240) at Individual Tree Level Using UAV Multi-Temporal and Multi-Spectral Data, file e384c433-75de-d4b2-e053-9f05fe0a1d67
|
21
|
Documenting cultural heritage in an INSPIRE-based 3D GIS for risk and vulnerability analysis, file e384c434-6ea8-d4b2-e053-9f05fe0a1d67
|
21
|
Immagini oblique acquisite da UAV per il rilevamento architettonico post-emergenza, file e384c42f-ea93-d4b2-e053-9f05fe0a1d67
|
19
|
Medicina array demonstrator: calibration and radiation pattern characterization using a UAV-mounted radio-frequency source, file e384c433-00c1-d4b2-e053-9f05fe0a1d67
|
19
|
Automatic features detection in a fluvial environment through machine learning techniques based on uavs multispectral data, file e384c434-2555-d4b2-e053-9f05fe0a1d67
|
19
|
Living Lab Experience in Turin: Lifestyles and Exposure to Black Carbon, file e384c434-a8ee-d4b2-e053-9f05fe0a1d67
|
18
|
Spectral Evidence of Ice on Aircrafts – The SEI Project, file e384c433-4110-d4b2-e053-9f05fe0a1d67
|
17
|
Data optimization for 3d modeling and analysis of a fortress architecture, file e384c431-8160-d4b2-e053-9f05fe0a1d67
|
16
|
UAV PHOTOGRAMMETRY WITH OBLIQUE IMAGES: FIRST ANALYSIS ON DATA ACQUISITION AND PROCESSING, file e384c433-7dc3-d4b2-e053-9f05fe0a1d67
|
16
|
GSTOP: a new tool for 3D Gemophogical survey and mapping, file e384c433-920c-d4b2-e053-9f05fe0a1d67
|
15
|
NEW DEVELOPMENTS IN LIDAR UAS SURVEYS. PERFORMANCE ANALYSES AND VALIDATION OF THE DJI ZENMUSE L1, file e384c434-e5bb-d4b2-e053-9f05fe0a1d67
|
15
|
Segmentazione semantica delle nuvole di punti utilizzando tecniche di apprendimento profondo per il patrimonio culturale, file e384c433-ce02-d4b2-e053-9f05fe0a1d67
|
14
|
Sinergie per la pianificazione del rapid mapping e per la condivisione dei DB spaziali., file e384c432-6ebc-d4b2-e053-9f05fe0a1d67
|
13
|
Soluzioni FOSS per l’HBIM: interoperabilità con soluzioni commerciali, file e384c431-8b7f-d4b2-e053-9f05fe0a1d67
|
11
|
Integrazione e validazione di immagini oblique e ad asse orizzontale da UAV per la Torre degli Smeducci a San Severino Marche, file e384c432-708c-d4b2-e053-9f05fe0a1d67
|
10
|
UP4DREAM CAPACITY BUILDING PROJECT: UAS BASED MAPPING IN DEVELOPING COUNTRIES, file e384c434-5514-d4b2-e053-9f05fe0a1d67
|
10
|
Medicina array demonstrator: calibration and radiation pattern characterization using a UAV-mounted radio-frequency source, file e384c42e-fcb5-d4b2-e053-9f05fe0a1d67
|
9
|
Close range photogrammetry with tablet technology in post-earthquake scenario: Sant'Agostino church in Amatrice, file e384c42f-ec16-d4b2-e053-9f05fe0a1d67
|
9
|
ISPRS BENCHMARK on MULTISENSORY INDOOR MAPPING and POSITIONING, file 9bbf3699-f113-40f4-9c73-b9f5949f4c5f
|
8
|
Totale |
19.943 |