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Removing Clutter And Multiples In Gpr Data Using Deconvolution And F-K Filtering In A Stratified Media
- Publisher: European Association of Geoscientists & Engineers
- Source: Conference Proceedings, 9th Congress of the Balkan Geophysical Society, Nov 2017, Volume 2017, p.1 - 5
Abstract
The main aim of the study is to indicate the a predictive deconvolution and F-K filtering processing to the ground penetrating radar (GPR) data to remove clutter effects and multiple reflections in a stratified media such as a thin layered coalmine in Afsin-Elbistan, Turkey. The second aim was to research a probable sinkhole form and map instable site.
A predictive deconvolution and F-K filtering has been employed together to the traditional processed the GPR data to remove clutter and multiples in Afsin-Elbistan coalmine which has been formed by the inter-bedded coal and gyttja about a hundred meters. It was important to determine possible sinkhole forms near to surface in the study area. However, clutter effect and multiples were covering the actual data on the traditional processed GPR radargrams. The processed radargrams including the predictive deconvolution processing, F-K filtering and migration indicated that these noise was almost removed according to the traditional processed radargrams. Finally, the possible instable areas were mapped on the site.