Proceedings of the 2016 5th International Conference on Advanced Materials and Computer Science

Application of Local Mean Decomposition in Marine Gravity Anomaly Data Processing

Authors
Jun Yin
Corresponding Author
Jun Yin
Available Online June 2016.
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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Volume Title
Proceedings of the 2016 5th International Conference on Advanced Materials and Computer Science
Series
Advances in Engineering Research
Publication Date
June 2016
ISBN
10.2991/icamcs-16.2016.6
ISSN
2352-5401
DOI
10.2991/icamcs-16.2016.6How to use a DOI?
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/).

Cite this article

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  -