Passive acoustic storey of the Antares neutrino detector for real-time cetaceans detection, localization and behavior studies

Adam, Olivier; Glotin, Hervé

doi:10.1109/passive.2008.4786981

Cited by 5 publications

(3 citation statements)

References 4 publications

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“…, and it is known as the time delay vector, the propagation vector can be obtained by solving the last squares pseudo inverse Eq. (6).…”

Section: Wave Meter System On Spar Buoysmentioning

confidence: 99%

“…This consists of the use of fixed observatories that can be based on sea bottom stations cabled to the shore [4] or on instruments deployed on oceanic sub-surface moorings [5] or surface buoys. Several large initiatives are currently operational all over the world: Ocean Observatories Initiative (OOI) in the USA, Neptune in Canada, European Seas Observatory NETwork (ESONET), and the neutrino telescope sites in Europe [6]. Cabled observatories allow data to be streamed directly to the shore base and checked in real time [7].…”

Section: Introductionmentioning

confidence: 99%

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Active and Passive Acoustic Methods for In-situ Monitoring of the Ocean Status

Pensieri¹,

Bozzano²

2017

Advances in Underwater Acoustics

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Recent European strategic plans for the successful monitoring of the status of the ocean push on the development of an integrated observing system able to further link existing instruments and techniques with the aim to complement each other and answer open issues. A more intensive use of acoustic devices could contribute to the knowledge of oceanographic processes exploiting the characteristic of sound to travel in the ocean for a wide area than in the atmosphere. In this context, the installation of passive acoustic instruments, able to listen to ambient noise on fixed or mobile platforms, could contribute to provide information on sound budget and to enhance the monitoring capacity of meteorological phenomena also in the open ocean. Instead, the deployment of active acoustic instruments can be of benefit for monitoring biological activities through the analysis of backscatter data as well as for monitoring ocean waves.

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“…, and it is known as the time delay vector, the propagation vector can be obtained by solving the last squares pseudo inverse Eq. (6).…”

Section: Wave Meter System On Spar Buoysmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Active and Passive Acoustic Methods for In-situ Monitoring of the Ocean Status

Pensieri¹,

Bozzano²

2017

Advances in Underwater Acoustics

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show abstract

“…Until now, existing acoustic surveys have been typically oriented to study sea mammal’s behavior and protection, although underwater sounds could be of interest to monitor rainfall and wind over the sea surface as well as shipping noise. Few observatories, mostly cabled, have been equipped with hydrophones to listen to the ocean in a continuous way (e.g., [ 2 , 3 , 4 ]), but several experiments of limited duration have been carried out using ARGO floats [ 5 ] or fixed stations [ 6 , 7 ].…”

Section: Introductionmentioning

confidence: 99%

Integration of Underwater Radioactivity and Acoustic Sensors into an Open Sea Near Real-Time Multi-Parametric Observation System

Pensieri

Patiris

Alexakis

et al. 2018

Sensors

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This work deals with the installation of two smart in-situ sensors (for underwater radioactivity and underwater sound monitoring) on the Western 1-Mediterranean Moored Multisensor Array (W1-M3A) ocean observing system that is equipped with all appropriate modules for continuous, long-term and real-time operation. All necessary tasks for their integration are described such as, the upgrade of the sensors for interoperable and power-efficient operation, the conversion of data in homogeneous and standard format, the automated pre-process of the raw data, the real-time integration of data and metadata (related to data processing and calibration procedure) into the controller of the observing system, the test and debugging of the developed algorithms in the laboratory, and the obtained quality-controlled data. The integration allowed the transmission of the acquired data in near-real time along with a complete set of typical ocean and atmospheric parameters. Preliminary analysis of the data is presented, providing qualitative information during rainfall periods, and combine gamma-ray detection rates with passive acoustic data. The analysis exhibits a satisfactory identification of rainfall events by both sensors according to the estimates obtained by the rain gauge operating on the observatory and the remote observations collected by meteorological radars.

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Deep learning algorithm outperforms experienced human observer at detection of blue whale D‐calls: a double‐observer analysis

Miller

Madhusudhana

Aulich

et al. 2022

Remote Sens Ecol Conserv

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An automated algorithm for passive acoustic detection of blue whale D‐calls was developed based on established deep learning methods for image recognition via the DenseNet architecture. The detector was trained on annotated acoustic recordings from the Antarctic, and performance of the detector was assessed by calculating precision and recall using a separate independent dataset also from the Antarctic. Detections from both the human analyst and automated detector were then inspected by an independent judge to identify any calls missed by either approach and to adjudicate whether the apparent false‐positive detections from the automated approach were actually true positives. A final performance assessment was conducted using double‐observer methods (via a closed‐population Huggins mark–recapture model) to assess the probability of detection of calls by both the human analyst and automated detector, based on the assumption of false‐positive‐free adjudicated detections. According to our double‐observer analysis, the automated detector showed superior performance with higher recall and fewer false positives than the original human analyst, and with performance similar to existing top automated detectors. To understand the performance of both detectors we inspected the time‐series and signal‐to‐noise ratio (SNR) of detections for the test dataset, and found that most of the advantages from the automated detector occurred at low and medium SNR.

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Passive acoustic storey of the Antares neutrino detector for real-time cetaceans detection, localization and behavior studies

Cited by 5 publications

References 4 publications

Active and Passive Acoustic Methods for In-situ Monitoring of the Ocean Status

Active and Passive Acoustic Methods for In-situ Monitoring of the Ocean Status

Integration of Underwater Radioactivity and Acoustic Sensors into an Open Sea Near Real-Time Multi-Parametric Observation System

Deep learning algorithm outperforms experienced human observer at detection of blue whale D‐calls: a double‐observer analysis

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