Lambertini, Alessandro
(2017)
Innovative Use and Integration of Remote Sensed Geospatial Data for 3D City Modeling and GIS Urban Applications, [Dissertation thesis], Alma Mater Studiorum Università di Bologna.
Dottorato di ricerca in
Ingegneria civile, chimica, ambientale e dei materiali, 29 Ciclo. DOI 10.6092/unibo/amsdottorato/8178.
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Abstract
Modern remote sensing instruments, mounted on a modern aerial platform and assisted through the use of automated procedures are now capable of acquiring data over a vast area in a short timeframe. Thanks to innovative processing methods and algorithms it is then possible to rapidly deliver results with a high detail and accuracy. The discussed thesis provides a detailed overview, through different case studies and examples, on the evolving complete pipeline required to survey, process, store, integrate, analyze and deliver data in the form of a 3D city model and GIS in the urban environment. A comprehensive 3D city model is, in fact, the necessary multi-disciplinary backbone for the ubiquitous sensors of a Smart City.
Abstract
Modern remote sensing instruments, mounted on a modern aerial platform and assisted through the use of automated procedures are now capable of acquiring data over a vast area in a short timeframe. Thanks to innovative processing methods and algorithms it is then possible to rapidly deliver results with a high detail and accuracy. The discussed thesis provides a detailed overview, through different case studies and examples, on the evolving complete pipeline required to survey, process, store, integrate, analyze and deliver data in the form of a 3D city model and GIS in the urban environment. A comprehensive 3D city model is, in fact, the necessary multi-disciplinary backbone for the ubiquitous sensors of a Smart City.
Tipologia del documento
Tesi di dottorato
Autore
Lambertini, Alessandro
Supervisore
Dottorato di ricerca
Ciclo
29
Coordinatore
Settore disciplinare
Settore concorsuale
Parole chiave
Remote Sensing, LIDAR, Photogrammetry, UAV, Point cloud, 3D city model, Smart City, GIS, WebGIS, Open Source, Open Data
URN:NBN
DOI
10.6092/unibo/amsdottorato/8178
Data di discussione
17 Maggio 2017
URI
Altri metadati
Tipologia del documento
Tesi di dottorato
Autore
Lambertini, Alessandro
Supervisore
Dottorato di ricerca
Ciclo
29
Coordinatore
Settore disciplinare
Settore concorsuale
Parole chiave
Remote Sensing, LIDAR, Photogrammetry, UAV, Point cloud, 3D city model, Smart City, GIS, WebGIS, Open Source, Open Data
URN:NBN
DOI
10.6092/unibo/amsdottorato/8178
Data di discussione
17 Maggio 2017
URI
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