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

摘要：

　　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 wBEMDs practicability.

关键词： SAR image Internal solitary wave Wavelet transform Bidimensional empirical mode decomposition

作者: Guang-Mei WEI Bing LI Xing-Xing NIE

作者单位: LMIB and School of Mathematics and System Sciences Beihang University,Beijing,100191,China School of Computer Science and Engineering Beihang University,Beijing,100191,China

会议类型: 国际会议

会议名称: 2013 2nd International Conference on Computer Science and Electronics Engineering(ICCSEE2013)(2013年第二届计算机科学与电子工程国际会议)

会议地点: 杭州

会议语种:英文

页码: 323-327

在线出版日期: 2013-03-22（万方平台首次上网日期，不代表论文的发表时间）