Error calculation in cross-correlation based population estimation technique of fish and mammals

Hossain, Syed Akhter; Hossen, Monir

doi:10.1250/ast.40.402

Cited by 2 publications

(2 citation statements)

References 6 publications

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“…In the past, the researchers associated with this technique utilized the mean of CCF [12] ratio of standard deviation to the mean of CCF [13][14][15][16][17][18][19][20] to estimate population size. In this paper, we have introduced standard deviation of CCF as estimation parameter to perform our desired estimation.…”

Section: Introductionmentioning

confidence: 99%

Cross-Correlation-Based Fisheries Stock Assessment Technique: Utilization of Standard Deviation of Cross-Correlation Function as Estimation Parameter with Four Acoustic Sensors

Hossain¹,

Hossen²

2021

Underwater Work

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In the past, cross-correlation-based fisheries stock assessment technique utilized the mean and the ratio of standard deviation to the mean of cross-correlation function (CCF) as estimation parameter. However, in this paper, we have utilized only standard deviation of CCF as estimation parameter to estimate the population size. We utilized four acoustic sensors and considered chirp sound which is commonly generated by damselfish (Dascyllus aruanus), humpback whales (Megaptera novaeangliae), dugongs (Dugong dugon), etc., species to accomplish the simulations. We found that a robust estimation can be obtained using standard deviation of CCF as estimation parameter even when the distances between acoustic sensors are small.

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Section: Introductionmentioning

confidence: 99%

Cross-Correlation-Based Fisheries Stock Assessment Technique: Utilization of Standard Deviation of Cross-Correlation Function as Estimation Parameter with Four Acoustic Sensors

Hossain¹,

Hossen²

2021

Underwater Work

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“…Hossain and Hossen have investigated the procedure of calculating statistical error of this technique illustrated in Ref. 14 . However, in the former researches, all the researchers have considered equal distance among the acoustic sensors.…”

Section: Introductionmentioning

confidence: 99%

Impact of unequal distances among acoustic sensors on cross-correlation based fisheries stock assessment technique

Hossain

Hossen

2020

Sci Rep

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Cross-correlation based fisheries stock assessment technique utilized array of multiple acoustic sensors which were equidistant pair. However, at practical implementation of this technique, equal distances among acoustic sensors is sometimes challenging due to different practical phenomenon. Therefore, in this study, we work on this issue and investigated the impact of unequal distances among the acoustic sensors. We found that cross-correlation based technique proved its effectiveness even for the unequal spacing among acoustic sensors. We considered chirp generating species of fish and mammals, i.e., damselfish (Dascyllus aruanus), humpback whales (Megaptera novaeangliae), dugongs (Dugong dugong), etc., species, and three acoustic sensors array for simulation purposes. Some limitations including negligence of multipath interference, assuming the delays to be integer were compromised during simulations.

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Error calculation in cross-correlation based population estimation technique of fish and mammals

Cited by 2 publications

References 6 publications

Cross-Correlation-Based Fisheries Stock Assessment Technique: Utilization of Standard Deviation of Cross-Correlation Function as Estimation Parameter with Four Acoustic Sensors

Cross-Correlation-Based Fisheries Stock Assessment Technique: Utilization of Standard Deviation of Cross-Correlation Function as Estimation Parameter with Four Acoustic Sensors

Impact of unequal distances among acoustic sensors on cross-correlation based fisheries stock assessment technique

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