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ISPRS Int. J. Geo-Inf. 2018, 7(11), 439; https://doi.org/10.3390/ijgi7110439

Automatic Parametrization of Urban Areas Using ALS Data: The Case Study of Santiago de Compostela

1
Department of Materials Engineering, Applied Mechanics and Construction, School of Industrial Engineering, University of Vigo, 36310 Vigo, Spain
2
Department of Natural Resources and Environmental Engineering, School of Mining Engineering, University of Vigo, 36310 Vigo, Spain
*
Author to whom correspondence should be addressed.
Received: 9 October 2018 / Revised: 5 November 2018 / Accepted: 7 November 2018 / Published: 9 November 2018
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Abstract

Nowadays, gathering accurate and meaningful information about the urban environment with the maximum efficiency in terms of cost and time has become more relevant for city administrations, as this information is essential if the sustainability or the resilience of the urban structure has to be improved. This work presents a methodology for the automatic parametrization and characterization of different urban typologies, for the specific case study of Santiago de Compostela (Spain), using data from Aerial Laser Scanners (ALS). This methodology consists of a number of sequential processes of point cloud data, using exclusively their geometric coordinates. Three of the main elements of the urban structure are assessed in this work: intersections, building blocks, and streets. Different geometric and contextual metrics are automatically extracted for each of the elements, defining the urban typology of the studied area. The accuracy of the measurements is validated against a manual reference, obtaining average errors of less than 3%, proving that the input data is valid for this assessment. View Full-Text
Keywords: Aerial Laser Scanner; point cloud processing; classification; urban parametrization Aerial Laser Scanner; point cloud processing; classification; urban parametrization
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Soilán, M.; Riveiro, B.; Liñares, P.; Pérez-Rivas, A. Automatic Parametrization of Urban Areas Using ALS Data: The Case Study of Santiago de Compostela. ISPRS Int. J. Geo-Inf. 2018, 7, 439.

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