Range Detection of Targets using Hydroacoustics in the Laboratory

Patrick, Paul H.; Sim, Bo-Ram; Hunt, G.

doi:10.1139/f91-040

Cited by 5 publications

(3 citation statements)

References 6 publications

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“…Changes in fish behavior due to varying light intensities can bias hydroacoustic analyses and the population estimates derived from them . The shape of the acoustic signal , the depth range analyzed, and the ability to distinguish targets from one another (Patrick et al 1991) and from the bottom (Burczynski and Johnson 1986) all affect estimates of fish abundance, and these analytical factors change as the distribution of fish in water column changes.…”

mentioning

confidence: 99%

Effects of Moonlight and Daylight on Hydroacoustic Estimates of Pelagic Fish Abundance

Luecke

Wurtsbaugh

1993

Transactions of the American Fisheries Society

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To determine how moonlight and daylight affect hydroacoustic estimates of fish abundance, we used a dual-beam transducer and echo integration to survey pelagic fish (primarily Bonneville ciscoes Prosopium gemmifer) in Bear Lake, Utah and Idaho. During the new moon, the fish were dispersed (not schooling) below the thermocline, chiefly at the depths of 10-20 m , At full moon, they were dispersed but much closer to the bottom, where they were difficult to detect. Acoustic estimates offish density and biomass during full moons were approximately 50% of values derived during new moons. A diel survey during a new moon indicated that fish were widely dispersed in the water column at night, but formed schools at dawn. Our study indicated that light conditions must be standardized to insure consistent and comparable population estimates of some pelagic fishes .

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mentioning

confidence: 99%

Effects of Moonlight and Daylight on Hydroacoustic Estimates of Pelagic Fish Abundance

Luecke

Wurtsbaugh

1993

Transactions of the American Fisheries Society

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“…Meanwhile, limitations of hydroacoustics in respect to target separation and derivation of fish length from target strength have been experimentally studied in the laboratory and enclosures by PATRICK et al (1991), andPONTON andMENC (1990).…”

Section: Othersmentioning

confidence: 99%

Review of the European Inland Fisheries Advisory Commission (EIFAC) experiments on stock assessment in lakes

Dahm

Hartman²,

Jurvelius³

et al. 1992

J Appl Ichthyol

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A series of international collaborative experiments carried out under the auspices of EIFAC sought to compare various sampling methods for stock abundance estimation in European inland waters. Four water bodies were used: the Evo lakes (Finland), Lake Konnevesi (Finland), Lake Constance (Germany) and LakeTegel (Germany). The experiments emphasized the difficulties in obtaining reliable fish stock estimates when using different sampling methods. Comparisons between the various methods were also limited. Poor data reliability was attributed both to problems inherent in the various methods and to deficiencies in the sampling design. These results emphasize the caution with which sampling data from inland water bodies should be interpreted. Suggestions are made by the EIFAC group for further studies. Zusammenfassung Uberblick uber die EIFAC-Experimente zur Bestandsabschatzung bei SeenIn internationaler Zusammenarbeit wurde eine Serie von Ex erimenten auf Anregung der EIFAC durchgefuhrt. Dabei wurden Methoden der Fischbestandsabsciatzung in europaischen Binnengewassern verglichen. Die Experimente wurden an 4 Orten durchgefuhrt: den Evo-Seen und dem Konnevesisee in Finnland sowie dem Bodensee und dem Tegeler See in Deutschland. Es zeigte sich die Schwierigkeit, die Ergebnisse verschiedener Methoden zu vergleichen und zu einer befriedi enden Bestandsschatzung zu kommen. Die Schwierigkeiten gehen auf die Methoden selbst wie auf B e Art ihres Einsatzes zuriick. Die Ergebnisse der Experimente rnahnen zur Vorsicht bei der Interpretation von Bestandsabschatzungen in Binnengewassern. Es werden Vorschlage fur das kiinftige Vorgehen der EIFACArbeitsgruppe und anderer Bearbeiter gemacht.

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“…Sonar is also non-consumptive. Although advancements have been made in the areas of developing real time data collection and on improving range resolutions (Patrick et al 1991). existing systems are still limited in their ability to detect or classify fish (a feature that is critical if sonar is to be used as a truly remote system).…”

Section: Introductionmentioning

confidence: 99%

The potential of a neural network based sonar system in classifying fish

Patrick

Ramani

Hanson

et al.

[1991 Proceedings] IEEE Conference on Neural Networks for Ocean Engineering

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Sonar is being investigated as a cost effective approach in collecting fisheries data for environmental impact assessments. A limitation of existing sonar systems is the ability to distinguish or classify fish species. This study explores the potential of a neural network based system in detecting and classifying the fish from the sonar echo returns. Preliminary results are encouraging and a simple neural network was able to identify up to 86 percent of the test samples. When the identification problem was divided into three subproblems, over 93 percent of the samples were identified correctly. This success rate of neural nets was found to be superior to both discriminant analysis and nearest neighbour techniques. Future research activities are discussed.

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Range Detection of Targets using Hydroacoustics in the Laboratory

Cited by 5 publications

References 6 publications

Effects of Moonlight and Daylight on Hydroacoustic Estimates of Pelagic Fish Abundance

Effects of Moonlight and Daylight on Hydroacoustic Estimates of Pelagic Fish Abundance

Review of the European Inland Fisheries Advisory Commission (EIFAC) experiments on stock assessment in lakes

The potential of a neural network based sonar system in classifying fish

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