By Topic

Context driven detection/classification of Cuvier's beaked whale (Ziphius cavirostris)

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Walter M. X. Zimmer ; Applied Research Department, NATO Undersea Research Centre, Vle San Bartolomeo 400, I-19126 La Spezia, Italy ; Gianni Pavan

Beaked whales have been reported to mass strand as result of naval sonar exercises and the ability to mitigate such negative effects is of increasing importance. We present results that suggest that passive acoustic detection of beaked whales is feasible using broadband hydrophone arrays towed at shallow depths. In particular, the presence of delayed surface reflections is an important classification cue indicating that the received sound had been generated by a whale foraging at depth. This contextual information can easily be visualized by time-delay estimation techniques. We show that the use of non-acoustic contextual information of a deep diving foraging whale provides a promising approach to improving the classification performance of a passive acoustic detector of beaked whales.

Published in:

New Trends for Environmental Monitoring Using Passive Systems, 2008

Date of Conference:

14-17 Oct. 2008