Sparse sampling method in seismic data regularization
作者： Zhao Qun , Cai Rui , Zhou Zhongbiao , Yang Li
DOI:
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摘要: The invention provides a sparse sampling method in seismic data regularization and belongs to the field of exploration regularization. includes following steps: (1) obtaining signal expression: selecting Curvelet conversion as expression; (2) designing random channel scheme which meets Bernoulli distribution; (3) applying obtained through step carry out resampling on original so that undersampled distribution rule is formed; (4) restructuring algorithm generate complete reconstruction data. Through use method, result can be fewer channels compressed sensing method.
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