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Evaluation of automatic building detection approaches combining high resolution images and LiDAR data

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Evaluation of automatic building detection approaches combining high resolution images and LiDAR data

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Hermosilla, T.; Ruiz Fernández, LÁ.; Recio Recio, JA.; Estornell Cremades, J. (2011). Evaluation of automatic building detection approaches combining high resolution images and LiDAR data. Remote Sensing. 3:1188-1210. doi:10.3390/rs3061188

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/28845

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Título: Evaluation of automatic building detection approaches combining high resolution images and LiDAR data
Autor:
Entidad UPV: Universitat Politècnica de València. Departamento de Ingeniería Cartográfica Geodesia y Fotogrametría - Departament d'Enginyeria Cartogràfica, Geodèsia i Fotogrametria
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Resumen:
In this paper, two main approaches for automatic building detection and localization using high spatial resolution imagery and LiDAR data are compared and evaluated: thresholding-based and object-based classification. The ...[+]
Palabras clave: Building detection , High spatial resolution imagery , LiDAR , Object-based image classification , Automatic building detection , Feature extraction and selection , High efficiency , High resolution image , LIDAR data , Object based , Quality assessment , Spatial location , Spectral response , Urban landscape , Decision trees , Feature extraction , Image analysis , Image classification , Image resolution , Image segmentation , Optical radar , Quality control , Rating , Buildings
Derechos de uso: Reconocimiento (by)
Fuente:
Remote Sensing. (issn: 2072-4292 )
DOI: 10.3390/rs3061188
Editorial:
MDPI
Versión del editor: http://www.mdpi.com/2072-4292/3/6/1188/pdf
Agradecimientos:
The authors appreciate the financial support provided by the Spanish Ministry of Science and Innovation and FEDER in the framework of the projects CGL2009-14220 and CGL2010-19591/BTE, and the support of the Spanish Instituto ...[+]
Tipo: Artículo

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