DocumentCode :
168878
Title :
Assessment of statistical-based clutter reduction techniques on ground-coupled GPR data for the detection of buried objects in soils
Author :
Tebchrany, E. ; Sagnard, F. ; Baltazart, Vincent ; Tarel, J.-P. ; Derobert, X.
Author_Institution :
IFSTTAR, Champs-sur-Marne, France
fYear :
2014
fDate :
June 30 2014-July 4 2014
Firstpage :
604
Lastpage :
609
Abstract :
A bi-static Ground Penetrating Radar (GPR) has been developed for the detection of cracks and buried pipes in urban grounds. It is made of two shielded Ultra Wide Band (UWB) bowtie-slot antennas operating in the frequency band [0.3;4] GHz. GPR signals contain not only responses of targets, but also unwanted effects from antenna coupling in air and in the soil, system ringing, and soil reflections that can mask the proper detection of useful information. Thus, it appears necessary to propose and assess several clutter reduction techniques as pre-processing techniques to improve the signal-to-noise ratio, discriminate overlapping responses issued from the targets and the clutter, and ease the use of data processing algorithms for target detection, identification or reconstruction. In this work, we have evaluated on Bscan profiles three different statistical data analysis such as mean subtraction, Principal Component Analysis (PCA), and Independent Component Analysis (ICA) considering a shallow and a medium depth target. The receiver operating characteristics (ROC) graph has allowed to evaluate the performance of each data processing in simulations and measurements to further draw a comparison in order to select the technique most adapted to a given soil structure with its radar probing system.
Keywords :
buried object detection; ground penetrating radar; independent component analysis; principal component analysis; radar clutter; radar detection; Bscan profiles; bistatic ground penetrating radar; buried object detection; data processing algorithms; ground coupled GPR data; independent component analysis; mean subtraction; preprocessing technique; principal component analysis; shielded slot antenna; soil; statistical based clutter reduction technique; target detection; target identification; target reconstruction; ultrawide band bowtie slot antenna; Diffraction; Frequency estimation; Ground penetrating radar; Radar detection; Radar measurements; Clutter reduction; object detection; polarimetry; signal processing; ultra-wide band radar;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Ground Penetrating Radar (GPR), 2014 15th International Conference on
Conference_Location :
Brussels
Type :
conf
DOI :
10.1109/ICGPR.2014.6970495
Filename :
6970495
Link To Document :
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