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A fidelity-restricted distributed principal component analysis compression algorithm for non-cable seismographs.

Authors :
Zheng, Fan
Ling, Yalan
Tang, Yuqing
Hui, Shuai
Yang, Hongyuan
Source :
Journal of Applied Geophysics. Oct2019, Vol. 169, p29-36. 8p.
Publication Year :
2019

Abstract

This paper proposes a distributed principal component analysis seismic data compression algorithm based on fidelity restriction for non-cable seismic exploration systems. The proposed method compresses data effectively according to a customized fidelity. It first determines the cumulative contribution rate, then calculates the global eigenvector matrix, generates a projection in the seismographs and finally transmits the projected data. The numerical simulation results show that when the total waveform fidelity reaches 92%, the compression ratio still stands at 77 times or more. Furthermore, the field experiment also verifies the performance of the algorithm. • Avoiding large amount of seismic data transmission and storage by compression method. • Data compression and decompression are conducted by fidelity-restricted distributed principal component analysis. • It compresses data effectively according to customized fidelity. • It is applied in the non-cable self-positioning seismic exploration system. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09269851
Volume :
169
Database :
Academic Search Index
Journal :
Journal of Applied Geophysics
Publication Type :
Academic Journal
Accession number :
138056489
Full Text :
https://doi.org/10.1016/j.jappgeo.2019.06.004