Blind deconvolution via sparsity maximization applied to GPR data / Khaled Chahine in European journal of environmental and civil engineering, Vol. 15 N° 4 (Avril 2011)  

Public ISBD [article]  inEuropean journal of environmental and civil engineering > Vol. 15 N° 4 (Avril 2011) . - pp. 575-586 Titre : Blind deconvolution via sparsity maximization applied to GPR data Type de document : texte imprimé Auteurs : Khaled Chahine, Auteur ; Vincent Baltazart, Auteur ; Yide Wang, Auteur Année de publication : 2011 Article en page(s) : pp. 575-586 Note générale : Génie Civil Langues : Anglais (eng) Mots-clés : Non destructive testing Reflectivity series Sparsity Time delay estimation Index. décimale : 624 Constructions du génie civil et du bâtiment. Infrastructures. Ouvrages en terres. Fondations. Tunnels. Ponts et charpentes Résumé : In measuring thin layer thickness of asphalt pavements using GPR, the sparse reflectivity series representing the layered structure of the pavement is convolved with the radar wavelet. This convolution results in masking closely spaced reflections. An ideal deconvolution retrieves the reflectivity series, and thus improves the time resolution and facilitates quantitative data interpretation. In this paper, we cast the convolutional model as a multidimensional data model which renders blind deconvolution via independent component analysis possible. We use a nonlinearity related to the double exponential density whose heavy-tailed nature provides further insight into the sparse nature of the reflectivity series. The method is tested on synthetic and real GPR data from a thin PVC slab. The results show the accuracy of the time delay estimates and verify the high resolution capability of the proposed approach. DEWEY : 624 ISSN : 1964-8189 En ligne : http://ejece.revuesonline.com/article.jsp?articleId=16046 [article] Blind deconvolution via sparsity maximization applied to GPR data [texte imprimé] / Khaled Chahine, Auteur ; Vincent Baltazart, Auteur ; Yide Wang, Auteur . - 2011 . - pp. 575-586. Génie Civil Langues : Anglais (eng) in European journal of environmental and civil engineering > Vol. 15 N° 4 (Avril 2011) . - pp. 575-586 Mots-clés : Non destructive testing Reflectivity series Sparsity Time delay estimation Index. décimale : 624 Constructions du génie civil et du bâtiment. Infrastructures. Ouvrages en terres. Fondations. Tunnels. Ponts et charpentes Résumé : In measuring thin layer thickness of asphalt pavements using GPR, the sparse reflectivity series representing the layered structure of the pavement is convolved with the radar wavelet. This convolution results in masking closely spaced reflections. An ideal deconvolution retrieves the reflectivity series, and thus improves the time resolution and facilitates quantitative data interpretation. In this paper, we cast the convolutional model as a multidimensional data model which renders blind deconvolution via independent component analysis possible. We use a nonlinearity related to the double exponential density whose heavy-tailed nature provides further insight into the sparse nature of the reflectivity series. The method is tested on synthetic and real GPR data from a thin PVC slab. The results show the accuracy of the time delay estimates and verify the high resolution capability of the proposed approach. DEWEY : 624 ISSN : 1964-8189 En ligne : http://ejece.revuesonline.com/article.jsp?articleId=16046

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