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

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.