A post-processing method to remove interference noise from acoustic data collected from Antarctic krill fishing vessels
文献类型： 外文期刊
作者： Wang, X. 1 ; Zhang, J. 2 ; Zhao, X. 2 ;
作者机构： 1.Ocean Univ China, Qingdao 266100, Peoples R China
2.Chinese Acad Fishery Sci, Yellow Sea Fisheries Res Inst, Minist Agr, Key Lab Sustainable Dev Marine Fisheries, Qingdao 266071, Peoples R China
3.Qingdao Natl Lab Marine Sci & Technol, Funct Lab Marine Fisheries Sci & Food Prod Proc, Qingdao 266237, Peoples R China
期刊名称：CCAMLR SCIENCE （ 影响因子：0.328； 五年影响因子：0.515 ）
ISSN： 1023-4063
年卷期： 2016 年 23 卷
页码：
收录情况： SCI
摘要： The use of fishing-vessel-based acoustic data has been recognised as an important way to estimate the distribution and relative abundance of Antarctic krill (Euphausia superba), yet the quality and even the utility of the data may be seriously degraded by interference noise due to the lack of synchronisation of the acoustic instruments found on some of the vessels. A simple method to remove significant interference noise was introduced based on relevant virtual variable operators in the existing acoustic data post-processing software. The utility of the method was demonstrated by applying it to the acoustic data at 38, 70 and 120 kHz collected from a Chinese krill fishing vessel. Results show that the interference noise was effectively reduced while structure and echo strength of the krill swarms were retained. The method may provide opportunity to improve the utility of fishing-vessel-based acoustic data for a range of objectives.
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