Automatic classification of acoustically detected krill aggregations: A case study from Southern Ocean-Reference-Cited by-同舟云学术

Automatic classification of acoustically detected krill aggregations: A case study from Southern Ocean

Published:2022-05 Issue: Volume:151 Page:105357
ISSN:1364-8152
Container-title:Environmental Modelling & Software
language:en
Short-container-title:Environmental Modelling & Software

Author:

Fontana Ignazio^ORCID,Barra Marco^ORCID,Bonanno Angelo,Giacalone Giovanni^ORCID,Rizzo Riccardo^ORCID,Mangoni Olga,Genovese Simona^ORCID,Basilone Gualtiero,Ferreri Rosalia^ORCID,Mazzola Salvatore,Lo Bosco Giosué^ORCID,Aronica Salvatore

Publisher

Elsevier BV

Subject

Ecological Modeling,Environmental Engineering,Software

Reference52 articles.

1. Identifying small pelagic Mediterranean fish schools from acoustic and environmental data using optimized artificial neural networks;Aronica;Ecol. Inf.,2019

2. Spatial-temporal relationships between two euphausiid species in the ross sea;Azzali;Chem. Ecol.,2006

3. ISODATA: A Novel Method of Data Analysis and Pattern Classification;Ball,1965

4. Euclidean Cluster Analysis;Beale,1969

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Biodiversity and functioning of mesozooplankton in a changing Ross Sea;Deep Sea Research Part II: Topical Studies in Oceanography;2024-10

2. Vertical structure characterization of acoustically detected zooplankton aggregation: a case study from the Ross Sea;Frontiers in Marine Science;2023-12-22

3. A pattern recognition approach to identify biological clusters acquired by acoustic multi-beam in Kongsfjorden;Environmental Modelling & Software;2022-06