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Species Identification and Noise Cancellation Using Volume Backscattering Strength Difference of Multi-Frequency

다중 주파술의 체적산란강도 차이를 이용한 에코그램 내에서의 종 분리와 잡음 제거

  • KANG Donhyug (Laboratory of Marine Environment and Resource Sensing, Hokkaido University) ;
  • SHIN Hyoung-Chul (Korea Ocean Research & Development Institute) ;
  • KIM Suam (Department of Marine Biology, Pukyong National University) ;
  • LEE Yoonho (Korea Ocean Research & Development Institute) ;
  • HWANG Doojin (Department of Fisheries Science & Technology, Yosu National University)
  • 강돈혁 (북해도대학 수산과학연구과) ;
  • 신형철 (한국해양연구원 극지연구센터) ;
  • 김수암 (부경대학교 자원생물학과) ;
  • 이윤호 (한국해양연구원 극지연구센터) ;
  • 황두진 (여수대학교 수산공학과)
  • Published : 2003.10.01

Abstract

Species identification in hydroacoustic survey is one of the key requirements to estimate biomass of organism and to understand the structure of zooplankton community. Feasibility of species identification using two frequencies (38 and 120 kHz) was investigated on the basis of mean volume backscattering strength difference (MVBS). Virtual echogram technique was applied to two frequencies data sets that obtained from surveys in the Antarctic Ocean and Yellow Sea. Virtual echogram method using MVBS revealed the possibility of species identification, which species identification relying on visual scrutiny of single frequency acoustic data resulted in significant errors in biomass estimation. Through noise cancellation using MVBS, much of the acoustic noise caused by acoustic instruments could be removed in new virtual echogram, and the biomass estimation and data quality was improved.

Keywords

References

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