P043 Dip-dependent GPR image decomposition by Local Radon Transforms Summary 1 GPR is a powerful tool for geophysical near-surface investigations. It is capable of delivering a highresolution image of the subsurface structure. However if the underground consists of many reflecting events the analysis and interpretation of the data can be very complicated. In this paper we report on a new image decomposition technique that is based on local Radon transforms. This technique is a parametric method that allows us to decompose and reconstruct a GPR data set depending on selected dips in the data. After partially reconstruction the data with


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