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單品種淡水活魚數(shù)量的被動聲學(xué)估計
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中央高?;究蒲袠I(yè)務(wù)費專項資金項目(2662015PY079、2662015QC020)和國家現(xiàn)代農(nóng)業(yè)產(chǎn)業(yè)技術(shù)體系專項(CARS-46-23)


Numbers Estimating of Single Species Freshwater Fish Using Passive Acoustic Signals
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    摘要:

    針對單品種淡水活魚數(shù)量估計問題,,以鯽魚和鳊魚為研究對象,,采用不同數(shù)量淡水魚的被動水聲信號作為樣本,通過4~6層小波包分解算法,,對比分析了樣本的若干特征提取方案,,明確了鯽魚水聲信號特征的提取方案為短時平均過零率+6層小波包分解頻段能量,而鳊魚只需提取6層小波包分解頻段能量作為其信號特征,。根據(jù)不同樣本集劃分方法比較結(jié)果,,確定了鯽魚樣本集劃分方法為Rank-SPXY(m=10),鳊魚為Rank-SPXY(m=5),。利用競爭自適應(yīng)重加權(quán)采樣,,篩選出樣本的關(guān)鍵特征,并使用多元線性回歸和偏最小二乘回歸建立了若干淡水活魚的數(shù)量估計模型,,結(jié)果表明:多元線性回歸模型的性能較好,,鯽魚和鳊魚數(shù)量估計模型的復(fù)相關(guān)系數(shù)分別為0.835和0.893,相對分析誤差分別為1.79和2.01,。

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    In order to estimate numbers of single species freshwater fish, the passive acoustic signals of different quantities crucian carp and bream fish were used as samples. The acoustic signals of the freshwater fish were collected by the HTI-96-MIN standard hydrophone. The extracting schemes of sample characteristics were compared by using 4 ~ 6 layer wavelet packet decomposition algorithms. The short-time average zero-crossing rate and the frequency band energy calculated by 6 layer wavelet packet decomposition algorithm were determined as the signal characteristics of crucian carp. And the characteristics of bream fish were the frequency band energy calculated by 6 layer wavelet packet decomposition algorithm only. According to the research results of different sample sets dividing methods, the final sample sets dividing methods of crucian carp and bream fish were Rank-SPXY (m=10) and Rank-SPXY (m=5). Furthermore, the key characteristics of the samples were chosen by competitive adaptive reweighted sampling. Finally, some numbers estimate models of the freshwater fish were established with the multiple linear regression and partial least squares regression. The results indicated that the performance of the multiple linear regression model was better. The multiple correlation coefficients of the numbers estimate models of crucian carp and bream fish were 0.835 and 0.893, and the relative percent deviations were 1.79 and 2.01, respectively. The numbers estimate methods proposed had good performance. It provided a new means for monitoring the freshwater fish quantity.

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李路,黃漢英,涂群資,趙思明,熊善柏,馬章宇.單品種淡水活魚數(shù)量的被動聲學(xué)估計[J].農(nóng)業(yè)機(jī)械學(xué)報,2018,49(3):328-333. LI Lu, HUANG Hanying, TU Qunzi, ZHAO Siming, XIONG Shanbo, MA Zhangyu. Numbers Estimating of Single Species Freshwater Fish Using Passive Acoustic Signals[J]. Transactions of the Chinese Society for Agricultural Machinery,2018,49(3):328-333.

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  • 收稿日期:2017-07-13
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  • 在線發(fā)布日期: 2018-03-10
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