Application of independent component analysis for evaluation of ashlar masonry walls
Fecha
Autores
Directores
Handle
https://riunet.upv.es/handle/10251/58588
Cita bibliográfica
Salazar Afanador, A.; Safont Armero, G.; Vergara Domínguez, L. (2011). Application of independent component analysis for evaluation of ashlar masonry walls. Lecture Notes in Computer Science. 6691(1):469-476. https://doi.org/10.1007/978-3-642-21498-1_59
Titulación
Resumen
[EN] This paper presents a novel application of Independent Component
Analysis (ICA) to the evaluation of ashlar masonry walls inspected with
Ground Penetrating Radar (GPR). ICA is used as preprocessor to eliminate the
background from the backscattered signals. Thus, signal-to-noise ratio of the
GPR signals is enhanced. Several experiments were made on scale models of
historic ashlar masonry walls. These models were loaded with different
weights, and the corresponding B-Scans were obtained. ICA shows the best
performance to enhance the quality of the B-Scans compared with classical
methods used in GPR signal processing.
Palabras clave
ICA, GPR, NDT, Clutter
ISSN
0302-9743
ISBN
978-3-642-21497-4 (Print)
978-3-642-21498-1 (Online)
978-3-642-21498-1 (Online)
Fuente
Lecture Notes in Computer Science
DOI
10.1007/978-3-642-21498-1_59
Enlaces relacionados
Patrocinadores
Agradecimientos
This work has been supported by the Generalitat Valenciana under grant PROMETEO/2010/040, and the Spanish Administration and the FEDER Programme of the European Union under grant TEC 2008-02975/TEC.