Recent advances in 3D land processing: Examples from the Pakistan Badin area

Karagul, A.; Crawford, Robert; Ali, Shahid

doi:10.3997/1365-2397.2004016

Cited by 5 publications

(6 citation statements)

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“…Consequently, most solutions for footprint attenuation are data‐adaptive (Soubaras ; Karagül et al . ; Gülünay et al . ).…”

Section: Filtering Techniquesmentioning

confidence: 97%

“…On the other hand, seismic field acquisition patterns are often complex, with non-orthogonal source and receiver lines. Consequently, most solutions for footprint attenuation are data-adaptive (Soubaras 2002;Karagül et al 2004;Gülünay et al 2006). By contrast, the noise patterns in our GPR data, which have their origin in the unequal spectra of the antennas, are less regular and cannot easily be localized in the wavenumber domain in an automatic way.…”

Section: D Frequency-wavenumber Filteringmentioning

confidence: 99%

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2D and 3D ground‐penetrating radar surveys with a modular system: data processing strategies and results from archaeological field tests

Verdonck

Vermeulen

Docter

et al. 2013

Near Surface Geophysics

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Recently, the use of ground-penetrating radar (GPR) arrays with a large number of antenna elements in a fixed configuration has become more common. The investment needed for these systems is significant. In order to reduce the recording time in the field, an alternative is the use of several single GPR antennas in parallel (a ‘modular system’). Although this does not match the fast acquisition of detailed data sets by means of multi-channel arrays, a system consisting in single antennas can gradually be expanded and investment can be spread over time. This paper presents a 2D and a full-resolution 3D survey, conducted with a modular GPR instrument. A characteristic of these systems is that the cross-line separation between transmitter-receiver pairs is larger than the sampling distance prescribed by the Nyquist theorem. As a consequence, for 3D data collection, profiles have to be acquired between previously recorded ones, which requires high positioning accuracy. A completely identical response for different single GPR antennas is difficult to achieve. For the system tested, on less favourable soils this resulted in striping in the horizontal slices. Several methods (3D frequency-wavenumber filtering, eigenimage filtering, mean profile filtering and filtering based on discrete wavelet transform, discrete ridgelet transform and linear Radon transform) were applied to two data sets exhibiting different kinds of linear noise and their capability to suppress artefacts was assessed. Although overall a reduction of the stripe patterns was achieved, mostly it was impossible to fully eliminate the noise in the time-slices without low-pass filtering in the cross-line direction. For the 2D data, low-pass filtering caused loss of some of the archaeological response and therefore was not applied. Mean profile filtering allowed the most reliable characterization of the archaeological structures

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“…Consequently, most solutions for footprint attenuation are data‐adaptive (Soubaras ; Karagül et al . ; Gülünay et al . ).…”

Section: Filtering Techniquesmentioning

confidence: 97%

Section: D Frequency-wavenumber Filteringmentioning

confidence: 99%

2D and 3D ground‐penetrating radar surveys with a modular system: data processing strategies and results from archaeological field tests

Verdonck

Vermeulen

Docter

et al. 2013

Near Surface Geophysics

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“…Other interesting examples of 3D f-k filtering are in Galibert et al (2002) and Karagül et al (2004). Figure 2.39 illustrates the power of 3D filtering as compared to the cascaded application of two 2D filters.…”

Section: Noise Removalmentioning

confidence: 98%

“…Stacks of the same cross section for different processing steps in slanted spread: (a) no f-k filter applied, (b) f-k filter in shot gathers only, (c) cascaded f-k filter in shot and receiver gathers, (d) 3D f-k filter. The bin size in this example is 20 × 20 m (fromKaragül et al, 2004).…”

mentioning

confidence: 99%

3D Seismic Survey Design, Second edition

Vermeer¹

2012

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“…This is similar to the processing used in magnetics and will efficiently reduce any banding effect along the survey direction. Energy matching is similar to footprint filtering (Karagül et al ) but it operates in the space domain, it is constant in the inline direction and it is very fast to compute.…”

Section: Data Processingmentioning

confidence: 99%

Use of antenna arrays for GPR surveying in archaeology

Leckebusch

2005

Near Surface Geophysics

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Among the different geophysical prospecting methods applied in archaeology, ground‐penetrating radar is one that still requires a lot of time to carry out field recordings. A duo‐antenna configuration is proposed that will halve the time needed in the field. Tests have shown that this can be done without any interference between the two antennae. The signals from different antennae do not have the same characteristics and the spectrum and amplitude of the traces are not the same. The use of spectral whitening and energy matching for adjacent traces or samples makes the data sets as similar as possible to allow for unperturbed time‐ or depth‐slices. As a side effect, spectral whitening enhances the vertical resolution and penetration depth of the method.

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Recent advances in 3D land processing: Examples from the Pakistan Badin area

Cited by 5 publications

References 0 publications

2D and 3D ground‐penetrating radar surveys with a modular system: data processing strategies and results from archaeological field tests

2D and 3D ground‐penetrating radar surveys with a modular system: data processing strategies and results from archaeological field tests

3D Seismic Survey Design, Second edition

Use of antenna arrays for GPR surveying in archaeology

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