• Title/Summary/Keyword: DIDSON

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Semiautomated Analysis of Data from an Imaging Sonar for Fish Counting, Sizing, and Tracking in a Post-Processing Application

  • Kang, Myoung-Hee
    • Fisheries and Aquatic Sciences
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    • v.14 no.3
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    • pp.218-225
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    • 2011
  • Dual frequency identification sonar (DIDSON) is an imaging sonar that has been used for numerous fisheries investigations in a diverse range of freshwater and marine environments. The main purpose of DIDSON is fish counting, fish sizing, and fish behavioral studies. DIDSON records video-quality data, so processing power for handling the vast amount of data with high speed is a priority. Therefore, a semiautomated analysis of DIDSON data for fish counting, sizing, and fish behavior in Echoview (fisheries acoustic data analysis software) was accomplished using testing data collected on the Rakaia River, New Zealand. Using this data, the methods and algorithms for background noise subtraction, image smoothing, target (fish) detection, and conversion to single targets were precisely illustrated. Verification by visualization identified the resulting targets. As a result, not only fish counts but also fish sizing information such as length, thickness, perimeter, compactness, and orientation were obtained. The alpha-beta fish tracking algorithm was employed to extract the speed, change in depth, and the distributed depth relating to fish behavior. Tail-beat pattern was depicted using the maximum intensity of all beams. This methodology can be used as a template and applied to data from BlueView two-dimensional imaging sonar.

A Framework of Recognition and Tracking for Underwater Objects based on Sonar Images : Part 1. Design and Recognition of Artificial Landmark considering Characteristics of Sonar Images (소나 영상 기반의 수중 물체 인식과 추종을 위한 구조 : Part 1. 소나 영상의 특성을 고려한 인공 표식물 설계 및 인식)

  • Lee, Yeongjun;Lee, Jihong;Choi, Hyun-Taek
    • Journal of the Institute of Electronics and Information Engineers
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    • v.51 no.2
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    • pp.182-189
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    • 2014
  • This paper proposed a framework of recognition and tracking for underwater objects using sonar images as an alternative of underwater optical camera which has the limitation of usage due to turbidity. In Part 1, a design and recognition method for 2D artificial landmark was proposed considering the practical performance of current imaging sonars. In particular, its materials are selected in order to maximize detectability based on characteristics of imaging sonar and ultrasonic waves. It has a simple and omni-directional shape which allows an easy modeling of object, and it includes region based features as identifications. Also, we proposed a real-time recognition algorithm including edge detector, Hough circle transforms, and shape matrix based recognition algorithm. The proposed methods are verified by basin tests using DIDSON.

Fish Monitoring through a Fish Run on the Nakdong River using an Acoustic Camera System (음향카메라시스템을 이용한 낙동강어도의 어류모니터링)

  • Yang, Yong-Su;Bae, Jae-Hyun;Lee, Kyoung-Hoon;Park, Jung-Su;Sohn, Byung-Kyu
    • Korean Journal of Fisheries and Aquatic Sciences
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    • v.43 no.6
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    • pp.735-739
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    • 2010
  • This study investigated a method for monitoring fishes immigrating to upper streams from the sea in relation to water level with elapsed time, and measured fish behavior patterns and swimming speed in a fishing boat gateway using an acoustic camera system. This method was employed due to difficulties, linked to high turbidity, of using only underwater optical systems for monitoring fish migrating to brackish water. Results showed that fish length distribution showed high correlation between haul sampling and an automatic counting algorithm supported by the DIDSON software program. These results will help to maximize the effects of fish run management by increasing understanding of the amount of major fish species migrating in relation to durable water levels.

Hydroacoustic Survey of Fish Distribution and Aggregation Characteristics in the Yongdam Reservoir, Korea (수중음향기법을 이용한 용담호의 어류 분포특성 연구)

  • Lee, Hyungbeen;Lee, Kyounghoon;Kim, Seonghun;Kim, In-Ok;Kang, Donhyug
    • Korean Journal of Fisheries and Aquatic Sciences
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    • v.47 no.6
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    • pp.1055-1062
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    • 2014
  • Hydroacoustic surveys were conducted for spatio-temporal distribution and size estimation of fish in the Yongdam reservoir, Korea, from April to July 2014. Acoustic data were collected along acoustic transects using a 120 kHz scientific echosounder. The received acoustic data were the in situ acoustic target strength (dB) and nautical area scattering coefficient ($m^2/mile^2$). Data on fish behavioral patterns and size were collected using a DIDSON acoustic camera at stationary stations. Fish were mainly distributed in the center channel and close to the outer Yongdam reservoir. Acoustic density of fish in the summer season were higher than in the spring season. The seasonal vertical distribution pattern of fish aggregations may be strongly related to the vertical temperature structure. The size distribution of fish obtained from an acoustic camera correlated well with the acoustic size of fish from an echosounder.