Application of Local Mean Decomposition in Marine Gravity Anomaly Data Processing

DOI

10.2991/icamcs-16.2016.6How to use a DOI?

Keywords

Marine Gravity, Local Mean Decomposition, De-noising, Wavelet Transform

Abstract

Marine gravity anomaly data interfered with noise impact of the follow-up data processing and analysis. Hereby a de-noising method of marine gravity anomaly data by local mean decomposition (LMD) combined with wavelet transform was proposed. De-nosing of marine gravity anomaly data requires maximum retention of useful information and as far as possible to suppression of noise interference. The collected marine gravity anomaly data is decomposed into a series of production functions (PF) by LMD, and wavelet de-noising carries on each PF with different scale factor, which can suppress the noise and protect the useful information from loss at the same time. Experimental data processing results show that the proposed method is effective.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Jun Yin
PY  - 2016/06
DA  - 2016/06
TI  - Application of Local Mean Decomposition in Marine Gravity Anomaly Data Processing
BT  - Proceedings of the 2016 5th International Conference on Advanced Materials and Computer Science
PB  - Atlantis Press
SP  - 22
EP  - 26
SN  - 2352-5401
UR  - https://doi.org/10.2991/icamcs-16.2016.6
DO  - 10.2991/icamcs-16.2016.6
ID  - Yin2016/06
ER  -