Abstract
Most GPR data analysis requires some conditioning of the raw recorded pulses before construction of images from closely spaced profiles is implemented. Radargram signal processing (RSP) involves using specialized filters to enhance and adjust the digitized reflections, as well as to remove noises contained in the raw recorded radar pulses. RSP can be applied to the radar pulses prior to constructing images from the radargrams. What signal processes are needed will depend on a variety of factors observed in the raw recorded radargrams. There are a variety of RSP that are essential and some are only used if certain noises are found to exist in the data. The basic RSP often used in GPR surveys are discussed:
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Goodman, D., Piro, S. (2013). Basic GPR Signal Processing. In: GPR Remote Sensing in Archaeology. Geotechnologies and the Environment, vol 9. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31857-3_3
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DOI: https://doi.org/10.1007/978-3-642-31857-3_3
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