By Topic

Neural network detection of small moving radar targets in an ocean environment

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
$31 $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)
Cunningham, J. ; Commun. Res. Lab., McMaster Univ., Hamilton, Ont., Canada ; Haykin, Simon

Small icebergs and pieces of icebergs are virtually undetectable with conventional marine radar systems. The authors describe a detection scheme for such icebergs. The scheme uses the chirplet transform, a wavelet-inspired transform, to generate images of the Doppler-shifted radar returns from icebergs and ocean surfaces. The images are classified using a neural network trained with the backpropagation algorithm, incorporating weight sharing and optimal brain damage paradigms. The network's architecture is motivated by the known physiology of animal vision. The network design incorporates temporal information. Performance has surpassed the benchmark Fourier-based detection scheme

Published in:

Neural Networks for Signal Processing [1992] II., Proceedings of the 1992 IEEE-SP Workshop

Date of Conference:

31 Aug-2 Sep 1992