Object and behavior differentiation for improved automated counts of migrating river fish using imaging sonar data
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Object and behavior differentiation for improved automated counts of migrating river fish using imaging sonar data
Authors
Keywords
ARIS, Imaging sonar, Automation, River, Population estimate
Journal
FISHERIES RESEARCH
Volume 237, Issue -, Pages 105883
Publisher
Elsevier BV
Online
2021-01-28
DOI
10.1016/j.fishres.2021.105883
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Length measurement accuracy of Adaptive Resolution Imaging Sonar ( ARIS ) and a predictive model to assess adult Atlantic salmon ( Salmo salar ) into two size categories with long‐range data in a river
- (2020) Jani Helminen et al. JOURNAL OF FISH BIOLOGY
- Improved Fish Counting Method Accurately Quantifies High‐Density Fish Movement in Dual‐Frequency Identification Sonar Data Files from a Coastal Wetland Environment
- (2020) Michael R. Eggleston et al. NORTH AMERICAN JOURNAL OF FISHERIES MANAGEMENT
- Detection and characterisation of deep-sea benthopelagic animals from an autonomous underwater vehicle with a multibeam echosounder: A proof of concept and description of data-processing methods
- (2018) Katherine M. Dunlop et al. DEEP-SEA RESEARCH PART I-OCEANOGRAPHIC RESEARCH PAPERS
- Detecting a nearshore fish parade using the adaptive resolution imaging sonar (ARIS): An automated procedure for data analysis
- (2017) Suzan Shahrestani et al. FISHERIES RESEARCH
- Inter-Observer Bias in Fish Classification and Enumeration Using Dual-frequency Identification Sonar (DIDSON): A Pacific Lamprey Case Study
- (2017) Matthew L. Keefer et al. NORTHWEST SCIENCE
- Realtime classification of fish in underwater sonar videos
- (2016) Ludwig Bothmann et al. JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS
- glmulti: AnRPackage for Easy Automated Model Selection with (Generalized) Linear Models
- (2015) Vincent Calcagno et al. Journal of Statistical Software
- The use of acoustic cameras in shallow waters: new hydroacoustic tools for monitoring migratory fish population. A review of DIDSON technology
- (2014) François Martignac et al. FISH AND FISHERIES
- Observer bias and subsampling efficiencies for estimating the number of migrating fish in rivers using Dual-frequency IDentification SONar (DIDSON)
- (2014) Ian C. Petreman et al. FISHERIES RESEARCH
- Acoustic tracking of migrating salmon
- (2014) Matthew J. Kupilik et al. JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA
- Environmental Influences on Fish Migration in a Hydropeaking River
- (2014) N. E. Jones et al. RIVER RESEARCH AND APPLICATIONS
- Can acoustic shadows identify fish species? A novel application of imaging sonar data
- (2012) M. C. LANGKAU et al. FISHERIES MANAGEMENT AND ECOLOGY
- Tail-Beat Patterns in Dual-Frequency Identification Sonar Echograms and their Potential Use for Species Identification and Bioenergetics Studies
- (2010) Anna-Maria Mueller et al. TRANSACTIONS OF THE AMERICAN FISHERIES SOCIETY
- Automated acoustic method for counting and sizing farmed fish during transfer using DIDSON
- (2009) Jun Han et al. FISHERIES SCIENCE
- Classifying Sonar Images: Can a Computer-Driven Process Identify Eels?
- (2009) Anna-Maria Mueller et al. NORTH AMERICAN JOURNAL OF FISHERIES MANAGEMENT
- Automated tracking of fish in trawls using the DIDSON (Dual frequency IDentification SONar)
- (2008) N. O. Handegard et al. ICES JOURNAL OF MARINE SCIENCE
- A Semiautomated Approach to Estimating Fish Size, Abundance, and Behavior from Dual-Frequency Identification Sonar (DIDSON) Data
- (2008) Kevin M. Boswell et al. NORTH AMERICAN JOURNAL OF FISHERIES MANAGEMENT
- Optimizing sampling effort within a systematic design for estimating abundant escapement of sockeye salmon (Oncorhynchus nerka) in their natal river
- (2007) Juha Lilja et al. FISHERIES RESEARCH
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started