Caifeng Cheng1, 2, Xiang’e Sun1, *, Deshu Lin3, Yiliu Tu4
CMC-Computers, Materials & Continua, Vol.64, No.1, pp. 651-664, 2020, DOI:10.32604/cmc.2020.09874
Abstract In actual exploration, the demand for 3D seismic data collection is increasing,
and the requirements for data are becoming higher and higher. Accordingly, the collection
cost and data volume also increase. Aiming at this problem, we make use of the nature of
data sparse expression, based on the theory of compressed sensing, to carry out the research
on the efficient collection method of seismic data. It combines the collection of seismic
data and the compression in data processing in practical work, breaking through the
limitation of the traditional sampling frequency, and the sparse characteristics of the
seismic signal are utilized… More >
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