Antarctic Blue Whale calls detection based on an improved version of the stochastic matched filter

As a first step to Antarctic Blue Whale monitoring, a new method based on a passive application of the Stochastic Matched Filter (SMF) is developed. To perform Z-call detection in noisy environment, improvements on the classical SMF requirements are proposed. The signal's reference is adjusted, the background noise estimation is reevaluated to avoid operator's selection, and the time-dependent Signal to Noise Ratio (SNR) estimation is revised by time-frequency analysis. To highlight the SMF's robustness against noise, it is applied on a Ocean Bottom Seismometers hydrophone-recorded data and compared to the classical Matched Filter: the output's SNR is maximized and the false alarm drastically decreased.

[1]  Holger Klinck,et al.  Calls reveal population structure of blue whales across the southeast Indian Ocean and the southwest Pacific Ocean , 2015, Journal of mammalogy.

[2]  Patrick Danès,et al.  Detection of acoustic patterns by stochastic Matched Filtering , 2010, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[3]  G. Barruol,et al.  Investigating La Réunion Hot Spot From Crust to Core , 2013 .

[4]  Olga Hernandez,et al.  Tracking blue whales in the eastern tropical Pacific with an ocean-bottom seismometer and hydrophone array. , 2009, The Journal of the Acoustical Society of America.

[5]  H. Glotin,et al.  Stochastic Matched Filter outperforms Teager-Kaiser-Mallat for tracking a plurality of sperm whales , 2008, 2008 New Trends for Environmental Monitoring Using Passive Systems.

[6]  Olivier Adam,et al.  Source level estimation of two blue whale subspecies in southwestern Indian Ocean. , 2010, The Journal of the Acoustical Society of America.

[7]  Olivier Adam,et al.  Detection range modeling of blue whale calls in Southwestern Indian Ocean , 2010 .

[8]  Scott D Frank,et al.  Analysis and localization of blue whale vocalizations in the Solomon Sea using waveform amplitude data. , 2011, The Journal of the Acoustical Society of America.

[9]  L. Matias,et al.  Applying distance sampling to fin whale calls recorded by single seismic instruments in the northeast Atlantic. , 2013, The Journal of the Acoustical Society of America.

[10]  An improvement to the pulse compression scheme , 2010, OCEANS'10 IEEE SYDNEY.

[11]  John A. Hildebrand,et al.  Biogeographic characterisation of blue whale song worldwide: using song to identify populations , 2023, J. Cetacean Res. Manage..

[12]  Francois-Xavier Socheleau,et al.  Automated detection of Antarctic blue whale calls. , 2015, The Journal of the Acoustical Society of America.

[13]  Julien Bonnel,et al.  Seasonal and Diel Vocalization Patterns of Antarctic Blue Whale (Balaenoptera musculus intermedia) in the Southern Indian Ocean: A Multi-Year and Multi-Site Study , 2016, PloS one.