음향 신호에 내재된 잡음의 효율적인 소거 방법
Efficient eliminating methods of noises imbedded acoustic signals
2
조회
0
다운로드
4
인용
0
참고문헌
키워드
초록
The hydro–acoustic technology has been widely used in not only South Korea but also many foreign countries for various scientific purposes. Unfortunately acoustic data especially collected from field surveys may contain noises caused by a variety of sources. Therefore, it is exceedingly important to eliminate noises when acoustic data are analyzed to derive quantitative results. This study introduced two methods for eliminating noises easily and effectively using post–processing software. Used acoustic data were collected on the Jinhae bay and Tongyeong coast of the South Sea in April 2015. The first method, that is the Wang’s method, placed emphasis on ‘erosion filter’ and ‘data range bitmap’ to eliminate only data samples contaminated by noises. The second method (Yamandu’s method) focused on the ‘resample by number of pings’ to remove pings contained noises. To substantiate the effectiveness of two methods, the mean Sv (Volume backscattering strength), mean height and depth of the fish schools detected were compared between before and after using the noise elimination methods. In the Wang’s method the mean Sv was decreased from –52.4 dB to –52.9 dB, and in the Yamandu’s method from –52.6 dB to –53.3 dB, indicating that noises were successfully eliminated. The mean height (1.5 m) and depth (19.0 m) were same between before and after using two methods showing that the shapes of fish schools were not changed.
Abstract
The hydro–acoustic technology has been widely used in not only South Korea but also many foreign countries for various scientific purposes. Unfortunately acoustic data especially collected from field surveys may contain noises caused by a variety of sources. Therefore, it is exceedingly important to eliminate noises when acoustic data are analyzed to derive quantitative results. This study introduced two methods for eliminating noises easily and effectively using post–processing software. Used acoustic data were collected on the Jinhae bay and Tongyeong coast of the South Sea in April 2015. The first method, that is the Wang’s method, placed emphasis on ‘erosion filter’ and ‘data range bitmap’ to eliminate only data samples contaminated by noises. The second method (Yamandu’s method) focused on the ‘resample by number of pings’ to remove pings contained noises. To substantiate the effectiveness of two methods, the mean Sv (Volume backscattering strength), mean height and depth of the fish schools detected were compared between before and after using the noise elimination methods. In the Wang’s method the mean Sv was decreased from –52.4 dB to –52.9 dB, and in the Yamandu’s method from –52.6 dB to –53.3 dB, indicating that noises were successfully eliminated. The mean height (1.5 m) and depth (19.0 m) were same between before and after using two methods showing that the shapes of fish schools were not changed.
참고문헌 (16)
- "Help file 6.1.12 for Echoview"[URL]
- 황보규, "볼락의 형태학적 특징과 음향반사강도 특성", 한국어업기술학회지, 51(1), pp.120~127 (2015), 한국어업기술학회[DOI]
- Collection of acoustic data from fishing vesssels, "ICES", 23~29, pp.ICES Cooperative research report 287 (2007)
- 강돈혁, "다중 주파수의 체적산란강도 차이를 이용한 에코그램 내에서의 종 분리와 잡음 제거", 한국수산과학회지, 36(5), pp.1~1 (2003), 한국수산과학회
- 강명희, "시간변량역치를 이용한 브라질 Dom Helvecio호수의 어류와 플랑크톤 생물의 음향적인 구분을 위한 기법", 한국어업기술학회지, 48(4), pp.495~503 (2012), 한국어업기술학회[DOI]
- 강명희, "2013년-2014년 춘계와 동계에 대한 통영과 여수 연안역의 멸치 어군의 현존량 추정", 한국어업기술학회지, 51(1), pp.86~93 (2015), 한국어업기술학회[DOI]
- Kang MH, "Hydro acoustic investigations on the distribution characteristics of the an chovy at the south region of east sea", Bull Korean Soc Fish Tech, 32(1), pp.16~23 (1996)
- 이대재, "소너 및 수중 CCTV 카메라 시스템을 이용한 수영만 인공어초 주변에 군집한 어군의 모니터링", 한국수산과학회지, 46(3), pp.266~272 (2013), 한국수산과학회
- 이형빈, "수산음향기법을 이용한 아산만 멸치(Engraulis japonicus)와 기타어군의 분포 및 현존량 추정", 한국수산과학회지, 47(5), pp.674~681 (2014), 한국수산과학회
- 이승종, "KRM 모델을 이용한 제주바다목장 해역 주요 우점종의 음향반사강도", 한국어업기술학회지, 46(2), pp.157~164 (2010), 한국어업기술학회
- 오택윤, "통영 주변 해역에서 멸치 어군에 대한 지리 통계학적 및 음향학적 분포 밀도 추정치의 비교", 한국수산과학회지, 42(3), pp.290~296 (2009), 한국수산과학회
- De Robertis A, "A post processing technique to estimate the signal to noise ratio and remove echosouder background noise", ICES J Mar Sci, 64, pp.1282~1291 (2007)
- Simmonds EJ, "Fisheries acoustics:Theory and Practice, 2nd edn" (2005), Blackwell
- Wang XL, "A noise removal algorithm for acoustic data with strong interference based on post–processing techniques" (2015), CCAMLR Science
- 윤은아, "수중 음향 기법을 이용한 인공어초에 서식하는 어류의 행동 특성", 한국어업기술학회지, 50(2), pp.124~130 (2014), 한국어업기술학회[DOI]
- Zhang J, "Impact of substracting ‘Time varied gain background noise’(TVGBN) on estimates of fisheries resources derived from post processing acoustic data", J Appl Ichthyol, 29, pp.1468~1472 (2013)