North Atlantic Right Whale (NARW) Line-Array Beamformer Performance Using Energy Detection and Pitch-Tracking Classification Metrics

A pitch-track classifier is applied to sonar data to detect Right whale upcalls. Data is beamformed and retested. Results fail to demonstrate performance gains. Simulation data is generated to investigate the problem. Variance of the distribution underlying the Mahalanobis distance or classification catalogue is found to be the largest contributor to classifier performance.

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Publication Details

Published
2024-09-23
DOI
https://doi.org/10.1109/oceans55160.2024.10753825
Primary Topic
Underwater Acoustics Research
Type
article
Field-Weighted Citation Impact
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article

North Atlantic Right Whale (NARW) Line-Array Beamformer Performance Using Energy Detection and Pitch-Tracking Classification Metrics

Jinshan Xu, Tara J. LeBlanc, David Flogeras, Gabrielle F. Macklin et al.
Underwater Acoustics Research
article

North Atlantic Right Whale (NARW) Line-Array Beamformer Performance Using Energy Detection and Pitch-Tracking Classification Metrics

Jinshan Xu, Tara J. LeBlanc, David Flogeras, Gabrielle F. Macklin, James A. Theriault
article en

Abstract

A pitch-track classifier is applied to sonar data to detect Right whale upcalls. Data is beamformed and retested. Results fail to demonstrate performance gains. Simulation data is generated to investigate the problem. Variance of the distribution underlying the Mahalanobis distance or classification catalogue is found to be the largest contributor to classifier performance.

Fisheries and Oceans Canada (CA)
Affordable and clean energy
Openalex Percentile: Top 78%
Underwater Acoustics Research
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