An Enhanced Bidimensional Empirical Mode Decomposition Algorithm Based on Wavelet Transform for SAR Internal Solitary Images

DOI

10.2991/iccsee.2013.83How to use a DOI?

Keywords

SAR image, Internal solitary wave, Wavelet transform, Bidimensional empirical mode decomposition

Abstract

Synthetic aperture radar (SAR) produces ocean SAR solitary images which include the information of internal solitary waves (ISWs), surface wave, terraininfo and noise. Based on wavelet transform (WT) and bidimensional empirical mode decomposition (BEMD), we give a new algorithm, named wBEMD, to obtain information of ISWs from the SAR images, and apply it on two SAR images to extract ISWs features. The ISWs information layer obtained from wBEMD shows more intact ISW features, from which we retrieve the characteristic width and phase velocity of ISWs and analyse other detailed information. The closeness between the retrieved parameters and observed data verifies wBEMD’s practicability.

Copyright

© 2013, 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  - Guang-Mei Wei
AU  - Bing Lie
AU  - Xing-Xing Nie
PY  - 2013/03
DA  - 2013/03
TI  - An Enhanced Bidimensional Empirical Mode Decomposition Algorithm Based on Wavelet Transform for SAR Internal Solitary Images
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
PB  - Atlantis Press
SP  - 323
EP  - 327
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.83
DO  - 10.2991/iccsee.2013.83
ID  - Wei2013/03
ER  -