Automatic Parametrization of Urban Areas Using ALS Data: The Case Study of Santiago de Compostela
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Automatic Parametrization of Urban Areas Using ALS Data: The Case Study of Santiago de CompostelaData
2018-11-09Centro/Dpto/Entidade
Construcciones y Estructuras Arquitectónicas, Civiles y AeronáuticasCita bibliográfica
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. https://doi.org/10.3390/ijgi7110439
Resumo
[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.
Palabras chave
Aerial Laser scanner
Point cloud processing
Classification
Urban parametrization
Point cloud processing
Classification
Urban parametrization
Dereitos
© 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
ISSN
2220-9964