Lofargram line tracking by multistage decision process

Authors:
J-C. Di Martino;J. P. Haton;A. Laporte
Affiliations:
CRIN, INRIA, Vandoeuvre, France;CRIN, INRIA, Vandoeuvre, France;Centre d'Etudes et Recherches en Détection Sous, Marines, DCN, Toulon, France
Venue:
ICASSP'93 Proceedings of the 1993 IEEE international conference on Acoustics, speech, and signal processing: plenary, special, audio, underwater acoustics, VLSI, neural networks - Volume I
Year:
1993

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Abstract

This paper deals with the issue of spectral lines tracking in a time/fequency sonar image so called lofargram (LOw Frequency Analysis Representation). Our approach, based on the feature grouping theory [1] [2] [3], consists in studying the line notion with respect to the minimization of a cost function φ. A multistage decision process is used to extract optimal paths from an image window. These optimal paths are defined according to φ and have a high chance of belonging to a spectral line. Then, a temporal processing integrates these observation windows in order to supply, after filtering, an image cleared of locally incoherent noise. Thus, the spectral line perception is drastically enhanced, even with a low signal to noise ratio.