Title :
Interferometry by Deconvolution of Multicomponent Multioffset GPR Data
Author_Institution :
Dept. of Geotechnology, Delft Univ. of Technol., Delft
fDate :
3/1/2009 12:00:00 AM
Abstract :
Interferometric techniques are now well known to retrieve data between two receivers by the cross correlation of the data recorded by these receivers. Cross-correlation methods for interferometry rely mostly on the assumption that the medium is loss free and that the sources are all around the receivers. A recently developed method introduced interferometry by deconvolution that is insensitive to loss mechanisms by principle and requires sources only on one side of the receivers. In this paper, we develop such method for ground-penetrating radar, illustrate the concept, and discuss implications for practical applications with numerical examples.
Keywords :
deconvolution; geophysical signal processing; ground penetrating radar; radar interferometry; radar signal processing; remote sensing by radar; GPR data deconvolution; cross correlation methods; data cross correlation; ground penetrating radar; interferometric techhniques; multicomponent multioffset GPR data; Deconvolution; ground-penetrating radar (GPR) data; interferometry; multicomponent; multioffset;
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
DOI :
10.1109/TGRS.2008.2005250