In:
Journal of Environmental and Engineering Geophysics, Environmental and Engineering Geophysical Society, Vol. 12, No. 2 ( 2007-06), p. 173-184
Abstract:
We investigate the influence of uncorrelated high frequency Gaussian noise on the accuracy and reliability of first-break arrival time picks. Using a reliable automatic picking algorithm based on the Akaike information criterion (AIC) and systematically noise contaminated synthetic data, allows us to develop a characteristic relation between the mis-pick (i.e., the error in the picked arrival time) and the signal-to-noise (S∕N) ratio for a specific waveform. For typical near-surface crosshole georadar survey setups, we further study the impact of such noise-related picking errors on tomographically reconstructed velocity images. Using synthetic and field data examples, results of tomographic inversions illustrate that significant velocity distortions can be introduced by noise-related mis-picking. In addition, we show that, under favorable conditions, it is possible to correct the noise-related picking errors prior to inversion.
Type of Medium:
Online Resource
ISSN:
1083-1363
,
1943-2658
DOI:
10.2113/JEEG12.2.173
Language:
English
Publisher:
Environmental and Engineering Geophysical Society
Publication Date:
2007
detail.hit.zdb_id:
2252108-2
SSG:
16,12
