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Proceedings Paper

Micro-seismic image denoising based on bilateral filtering and cross-correlation
Author(s): Ren'an Ma; Erhua Zhang; Quanshi Guo
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Paper Abstract

According to features of micro-seismic signal, this paper defines the similarity between signals using the cross-correlation, and applies bilateral filtering to the domain of micro- seismic profile image processing. Relative to the general bilateral filtering and curvelet filtering, experimental results confirm that the bilateral filtering based on cross-correlation can remove interference noises a lot, enhance the signal-to-noise ration, and keep the continuity of horizontal micro-seismic events, that will ensure the accuracy of micro-seismic event identification and positioning.

Paper Details

Date Published: 21 July 2017
PDF: 6 pages
Proc. SPIE 10420, Ninth International Conference on Digital Image Processing (ICDIP 2017), 104202H (21 July 2017); doi: 10.1117/12.2281737
Show Author Affiliations
Ren'an Ma, Anhui Xinhua Univ. (China)
Erhua Zhang, Nanjing Univ. of Science and Technology (China)
Quanshi Guo, Sinopec Geophysical Research Institute (China)

Published in SPIE Proceedings Vol. 10420:
Ninth International Conference on Digital Image Processing (ICDIP 2017)
Charles M. Falco; Xudong Jiang, Editor(s)

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