Laserscanning represents a truly efficient survey technique. Despite the high degree of productivity and automation characterising it, a limitation persists due to the absence of structure and classification of the acquired measurements. This requires a further expensive interactive data refinement, that leads to increase several times the cost of the bare survey. Certain engineering and architecture practices require instead a faster and more essential product: road constructions, and geotechnics, for example, usually require just a Digital Terrain Model, and a set of representative sections properly located. The present work aimed therefore to investigate and to implement methods for the rapid generation of profiles directly from non structured LiDAR datasets, avoiding in many cases the long and expensive semi manual operations of filtering and classification, and overcoming at the same time some limitations found in the commonly used software. The paper finally provides an outlook to some results performed by the developed program on real terrestrial and aerial LiDAR surveys, carried out on the Saint Ignazio’s Church at Gorizia (Italy)

Vettorializzazione diretta di profili di sezione da rilievi LIDAR

BEINAT, Alberto;CROSILLA, Fabio;SEPIC, Francesco;
2007-01-01

Abstract

Laserscanning represents a truly efficient survey technique. Despite the high degree of productivity and automation characterising it, a limitation persists due to the absence of structure and classification of the acquired measurements. This requires a further expensive interactive data refinement, that leads to increase several times the cost of the bare survey. Certain engineering and architecture practices require instead a faster and more essential product: road constructions, and geotechnics, for example, usually require just a Digital Terrain Model, and a set of representative sections properly located. The present work aimed therefore to investigate and to implement methods for the rapid generation of profiles directly from non structured LiDAR datasets, avoiding in many cases the long and expensive semi manual operations of filtering and classification, and overcoming at the same time some limitations found in the commonly used software. The paper finally provides an outlook to some results performed by the developed program on real terrestrial and aerial LiDAR surveys, carried out on the Saint Ignazio’s Church at Gorizia (Italy)
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11390/877188
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