Micro-seismic image denoising based on bilateral filtering and cross-correlation

Ren'an Ma; Erhua Zhang; Quanshi Guo

doi:10.1117/12.2281737

21 July 2017 Micro-seismic image denoising based on bilateral filtering and cross-correlation

Ren'an Ma, Erhua Zhang, Quanshi Guo

Proceedings Volume 10420, Ninth International Conference on Digital Image Processing (ICDIP 2017); 104202H (2017) https://doi.org/10.1117/12.2281737
Event: Ninth International Conference on Digital Image Processing (ICDIP 2017), 2017, Hong Kong, China

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.

Citation Download Citation

Ren'an Ma, Erhua Zhang, and Quanshi Guo "Micro-seismic image denoising based on bilateral filtering and cross-correlation", Proc. SPIE 10420, Ninth International Conference on Digital Image Processing (ICDIP 2017), 104202H (21 July 2017); https://doi.org/10.1117/12.2281737

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