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

@article{Guangtao2007UnderwaterAF,
  title={Underwater Acoustic Feature Extraction Based on Bidimensional Empirical Mode Decomposition in Shadow Field},
  author={Ge Guangtao and Sang Enfang and Liu Zhuofu and Zhu Beibei},
  journal={2007 3rd International Workshop on Signal Design and Its Applications in Communications},
  year={2007},
  pages={365-367}
}
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 extract better features from the first IMF. Sometimes, it is necessary to… CONTINUE READING