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Tecniche per l'estrazione automatica di edifici da nuvole di punti con software proprietari ed open source

Authors: LAMBERTINI, ALESSANDRO; Pastorello, Elisa; BITELLI, GABRIELE;

Tecniche per l'estrazione automatica di edifici da nuvole di punti con software proprietari ed open source

Abstract

Le tecniche e le procedure di estrazione automatica e semi-automatica di informazioni a partire da dati telerilevati sono in continua evoluzione, in seguito ad un grande interesse scientifico e commerciale. Oggetto della presente sperimentazione sono diversi algoritmi, implementati in altrettanti software proprietari ed open source, in grado di rilevare le geometrie di edifici all'interno di nuvole di punti. Tali dati possono essere acquisiti da strumentazione aerea LiDAR o processati per via fotogrammetrica. I software confrontati in questo lavoro prevedono differenti flussi di lavoro in quanto strutturati per rispondere a diverse esigenze nell'ambito dell’elaborazione di dati geo-spaziali. Tale confronto per l'estrazione e la classificazione di informazioni tematiche si è svolto con GRASS GIS, ENVI LiDAR e LAStools. Le procedure sono state testate con un dataset comune ed i risultati sono analizzati come cartografia numerica in ambiente GIS. Ulteriori considerazioni vengono effettuate per valutare le diverse funzionalità dei software, confrontandone le prestazioni e le caratteristiche peculiari.

Country
Italy
Keywords

LiDAR; Cloudpoints; 3D City Model

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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