| Abstract: | Resolution is key to confidently identifying unique geologic features using ground-penetrating radar (GPR) data. Source wavelet "ringing" (related to bandwidth) in a GPR section limits resolution because of wavelet interference, and can smear reflections in time and/or space. The resultant potential for misinterpretation limits the usefulness of GPR. Deconvolution offers the ability to compress the source wavelet and improve temporal resolution. Unlike statistical deconvolution, deterministic deconvolution is mathematically simple and stable while providing the highest possible resolution because it uses the source wavelet unique to the specific radar equipment. Source wavelets generated in, transmitted through and acquired from air allow successful application of deterministic approaches to wavelet suppression. We demonstrate the validity of using a source wavelet acquired in air as the operator for deterministic deconvolution in a field application using "400-MHz" antennas at a quarry site characterized by interbedded carbonates with shale partings. We collected GPR data on a bench adjacent to cleanly exposed quarry faces in which we placed conductive rods to provide conclusive groundtruth for this approach to deconvolution. The best deconvolution results, which are confirmed by the conductive rods for the 400-MHz antenna tests, were observed for wavelets acquired when the transmitter and receiver were separated by 0.3 m. Applying deterministic deconvolution to GPR data collected in sedimentary strata at our study site resulted in an improvement in resolution (50%) and improved spatial location (0.10-0.15 m) of geologic features compared to the same data processed without deterministic deconvolution. The effectiveness of deterministic deconvolution for increased resolution and spatial accuracy of specific geologic features is further demonstrated by comparing results of deconvolved data with nondeconvolved data acquired along a 30-m transect immediately adjacent to a fresh quarry face. The results at this site support using deterministic deconvolution, which incorporates the GPR instrument‘s unique source wavelet, as a standard part of routine GPR data processing. ?? 2003 Elsevier B.V. All rights reserved. |
| Genre: | Article |
| ProdID: | 70025275 |
| Citation Author: | Xia, J.; Franseen, E. K.; Miller, R. D.; Weis, T. V.; Byrnes, A. P. |
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| Citation End Page: | 33 |
| Citation Issue: | 1-2 |
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| Citation Language: | English |
| Citation Larger Work Title: | Journal of Applied Geophysics |
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| Citation Number Of Pages: | 19 |
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| Citation Search Results Text: | Improving ground-penetrating radar data in sedimentary rocks using deterministic deconvolution; 2003; Article; Journal; Journal of Applied Geophysics; Xia, J.; Franseen, E. K.; Miller, R. D.; Weis, T. V.; Byrnes, A. P. |
| Citation Start Page: | 15 |
| Citation Volume: | 54 |
| Citation Year: | 2003 |
| Type: | citation/reference |
| Text: | Improving ground-penetrating radar data in sedimentary rocks using deterministic deconvolution; 2003; Article; Journal; Journal of Applied Geophysics; Xia, J.; Franseen, E. K.; Miller, R. D.; Weis, T. V.; Byrnes, A. P. |
| URL (THUMBNAIL): | http://pubs.er.usgs.gov/thumbnails/outside_thumb.jpg |
| URL (DIGITAL OBJECT IDENTIFIER): | http://dx.doi.org/10.1016/S0926-9851(03)00045-4 |
| Date Other: | Wed, 1 Jan 2003 00:00 -0600 |
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