조업선에서 수집한 음향자료에 대한 잡음 제거 기법에 관한 연구
A study on noise removal technique for acoustic data from a fishing boat
2
조회
0
다운로드
3
인용
0
참고문헌
키워드
초록
The Commission for Conservation of Antarctic Marine Living Resources (CCAMLR) is utilized to manage krill resources using acoustic data collection and a scientific observer program operating on the fishing boats. However, the acoustic data were contained seriously noise, example of background, spike, and intermittent noise, due to purpose of fish boats. In this study, the noise removal techniques were confirmed the potential of the acoustic data analysis. Acoustic system and frequency used in the survey were commercial echosounder (ES70, SIMRAD) and 200 kHz split beam transducer. Acoustic data were analyzed using Echoview software (Myriax), and general data analysis and new noise removal method was used. Although a variety of noise, most of the noises have been removed using the noise removal processing. We confirmed the possibility of analyzing the acoustic data obtained from fish boats. The results will be useful for analysis of the acoustic data acquired from krill fishing boats.
Abstract
The Commission for Conservation of Antarctic Marine Living Resources (CCAMLR) is utilized to manage krill resources using acoustic data collection and a scientific observer program operating on the fishing boats. However, the acoustic data were contained seriously noise, example of background, spike, and intermittent noise, due to purpose of fish boats. In this study, the noise removal techniques were confirmed the potential of the acoustic data analysis. Acoustic system and frequency used in the survey were commercial echosounder (ES70, SIMRAD) and 200 kHz split beam transducer. Acoustic data were analyzed using Echoview software (Myriax), and general data analysis and new noise removal method was used. Although a variety of noise, most of the noises have been removed using the noise removal processing. We confirmed the possibility of analyzing the acoustic data obtained from fish boats. The results will be useful for analysis of the acoustic data acquired from krill fishing boats.
참고문헌 (12)
- Everson I., "Distribution and standing, The Southern Ocean", pp.63~79 (2000), Blackwell Science
- Everson I, "Comparing echosounder efficiency using field observations", Lake Resev Manage, 18, pp.167~177 (2013)[DOI]
- Demer DA, "An estimate of error for the CCAMLR 2000 survey estimate of krill biomass", Deep-Sea Res II, 51, pp.1237~1251 (2004)[DOI]
- A metadata convention for processed acoustic data from active acoustic systems, "ICES", ICES WGFAST Topic Group, TG-ASMeta, 44~, pp.Document SISP 4-TG-AcMeta (2014)
- 강돈혁, "다중 주파수의 체적산란강도 차이를 이용한 에코그램 내에서의 종 분리와 잡음 제거", 한국수산과학회지, 36(5), pp.1~1 (2003), 한국수산과학회[DOI]
- 강돈혁, "음향 조사에 의한 2002", 2003 하계 시기의 남극 남쉐틀랜드 군도와 남오크니섬 사이의 크릴 밀도, 2005, pp.27(1), 75~86[DOI]
- 강명희, "Semiautomated Analysis of Data from an Imaging Sonar for Fish Counting, Sizing, and Tracking in a Post-Processing Application", Fisheries and Aquatic Sciences, 14(3), pp.218~225 (2011), 한국수산과학회[DOI]
- 강명희, "2013년-2014년 춘계와 동계에 대한 통영과 여수 연안역의 멸치 어군의 현존량 추정", 한국어업기술학회지, 51(1), pp.86~93 (2015), 한국어업기술학회[DOI]
- 이형빈, "수산음향기법을 이용한 아산만 멸치(Engraulis japonicus)와 기타어군의 분포 및 현존량 추정", 한국수산과학회지, 47(5), pp.674~681 (2014), 한국수산과학회
- 이경훈, "황해에 분포하는 살오징어의 음향산란강도 특성 및 분포밀도 추정", 한국어업기술학회지, 45(3), pp.157~164 (2009), 한국어업기술학회[DOI]
- A noise removal algorithm for acoustic data with strong interference based on post-processing techniques, "Wang X", CCAMLR, 1~11, pp.Document SG-ASAM-15 (2015)