Classifying fish schools and estimating their species proportions in fishery-acoustic surveys

Ronan Fablet; Riwal Lefort; Imen Karoui; Laurent Berger; Jacques Masse; Carla Scalabrin; Jean-Marc Boucher

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Classifying fish schools and estimating their species proportions in fishery-acoustic surveys

机译：在渔业声学调查中对鱼群进行分类并估计其种类比例

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Automated or computer-assisted tools are needed for estimating the proportion of species and their biomass in echosounder surveys of marine ecosystems. Operational systems rely mainly on school morphologies or the frequency responses of scatterers to identify target species in echograms. This paper presents two complementary methods for classifying schools and estimating their species proportion in a multispecies, pelagic environment. One method relies on the training of probabilistic school classifiers; the other exploits echogram similarities to infer species proportions directly from the proportions known at trawled sites. The methods are demonstrated with empirical and simulated data. School classifications and species-proportion estimates are compared to demonstrate the effectiveness of the proposed methods.

机译：需要使用自动或计算机辅助的工具来估计海洋生态系统回声调查中物种及其生物量的比例。操作系统主要依靠学校的形态或散射体的频率响应来识别回波图中的目标物种。本文提出了两种辅助方法，用于在多物种，中上层环境中对学校进行分类并估计其物种比例。一种方法依赖于概率学校分类器的训练。其他利用回波图相似性直接从拖网地点已知的比例推断物种比例。用经验和模拟数据证明了这些方法。比较学校分类和物种比例估计，以证明所提出方法的有效性。

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来源
《ICES Journal of Marine Science》 |2009年第6期|1136-1142|共7页
作者
Ronan Fablet; Riwal Lefort; Imen Karoui; Laurent Berger; Jacques Masse; Carla Scalabrin; Jean-Marc Boucher;
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作者单位

Institut TELECOM, TELECOM Bretagne, UMR CNRS 3192 Lab-STiCC, Technopole Brest Iroise CS 83818, 29238 Brest Cedex 3, France Universite europeenne de Bretagne, France STH, BP 70 29280, Plouzane, France;

Institut TELECOM, TELECOM Bretagne, UMR CNRS 3192 Lab-STiCC, Technopole Brest Iroise CS 83818, 29238 Brest Cedex 3, France Universite europeenne de Bretagne, France STH, BP 70 29280, Plouzane, France;

Institut TELECOM, TELECOM Bretagne, UMR CNRS 3192 Lab-STiCC, Technopole Brest Iroise CS 83818, 29238 Brest Cedex 3, France Universite europeenne de Bretagne, France;

STH, BP 70 29280, Plouzane, France;

EMH, Nantes, France;

STH, BP 70 29280, Plouzane, France;

Institut TELECOM, TELECOM Bretagne, UMR CNRS 3192 Lab-STiCC, Technopole Brest Iroise CS 83818, 29238 Brest Cedex 3, France Universite europeenne de Bretagne, France;

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正文语种 eng
中图分类
关键词
fisheries acoustics; multispecies environment; school classification;

机译：渔业声学;多物种环境;学校分类;

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Classifying fish schools and estimating their species proportions in fishery-acoustic surveys

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