Proceedings of the 2015 4th International Conference on Sensors, Measurement and Intelligent Materials

Research Residuals Weaken Multibeam Bathymetric Data Based on Curve Fitting and Wavelet Transform

Authors
Shengping Wang, Jian Xu, Ping Zhou, Fangchen Xu, Yongda Lin
Corresponding Author
Shengping Wang
Available Online January 2016.
DOI
https://doi.org/10.2991/icsmim-15.2016.18How to use a DOI?
Keywords
multi beam sounding; residual error; least square curve fitting; wavelet transform
Abstract

the residual error of the left and right ping data in the multi beam sounding is obvious, and it is not easy to be extracted. In this paper, we use the least square curve fitting and wavelet transform to analyze the residual error, verify it's feasibility by the method of doing experiments.

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 2015 4th International Conference on Sensors, Measurement and Intelligent Materials
Series
Advances in Computer Science Research
Publication Date
January 2016
ISBN
978-94-6252-157-5
ISSN
2352-538X
DOI
https://doi.org/10.2991/icsmim-15.2016.18How 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  - Shengping Wang
AU  - Jian Xu
AU  - Ping Zhou
AU  - Fangchen Xu
AU  - Yongda Lin
PY  - 2016/01
DA  - 2016/01
TI  - Research Residuals Weaken Multibeam Bathymetric Data Based on Curve Fitting and Wavelet Transform
BT  - Proceedings of the 2015 4th International Conference on Sensors, Measurement and Intelligent Materials
PB  - Atlantis Press
SP  - 89
EP  - 94
SN  - 2352-538X
UR  - https://doi.org/10.2991/icsmim-15.2016.18
DO  - https://doi.org/10.2991/icsmim-15.2016.18
ID  - Wang2016/01
ER  -