Underwater Acoustic Feature Extraction Based on Bidimensional Empirical Mode Decomposition in Shadow Field

摘要：

Recent developments in feature extraction based on Bidimensional Empirical Mode Decomposition (BEMD)is mainly about the optical image. Here we applied the BEMD to the underwater acoustic image feature extraction.Acoustic shadow fields always disturb feature extraction.To reduce it, we decomposed the underwater acoustic image into several Intrinsic Mode Functions (IMFs) and a residue.Thus, the Canny edge detector could ex,act better features from the first IMF. Sometimes, it is necessary to detect the sum of the first two IMFs. Experiments prove that this novel method really enhance the features of objects (physiognomy and texture) in the acoustic shadow field and weaken the edge of the acoustic shadow field.

关键词： acoustic shadow field feature extraction edge detector Bidimensional Empirical Mode Decomposition

作者: Ge Guangtao Sang Enfang Liu Zhuofu Zhu BeiBei

作者单位: College of Underwater Acoustic Engineering of Harbin Engineering University, Harbin 150001, China College of Electro-mechanics and Material Engineering of Dalian Marine University, Dalian 116026, Ch

会议类型: 国际会议

会议名称: 第三届信号设计及其在通信中的应用国际会议(Proceedings of 2007 International Workshop on Signal Design and Its Applications in Communications IWSDA07)

会议地点: 成都

会议语种:英文

页码: 365-367

在线出版日期: 2007-09-23（万方平台首次上网日期，不代表论文的发表时间）