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Proceedings Paper

Sonar image enhancements for improved detection of sea mines
Author(s): Karl Jespersen; Helge B.D. Sorensen; Benoit Zerr; Bjarne Stage; Bent Haugsted
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Paper Abstract

In this paper, five methods for enhancing sonar images prior to automatic detection of sea mines are investigated. Two of the methods have previously been published in connection with detection system and serve as reference. The three new enhancement approaches are a variance stabilizing log transform, nonlinear filtering, and pixel averaging for speckle reduction. The effect of the enhancement step is tested by using the full processing chain i.e. enhancement, detection and thresholding to determine the number of detections and false alarms. Substituting different enhancement algorithms in the processing chain gives a precise measure of the performance of the enhancement stage. The test is performed using a sonar image database with images ranging from very simple to very complex. The result of the comparison indicates that the new enhancement approaches improve the detection performance.

Paper Details

Date Published: 2 August 1999
PDF: 7 pages
Proc. SPIE 3710, Detection and Remediation Technologies for Mines and Minelike Targets IV, (2 August 1999); doi: 10.1117/12.357077
Show Author Affiliations
Karl Jespersen, The Royal Danish Naval Academy (Denmark)
Helge B.D. Sorensen, Technical Univ. of Denmark (Denmark)
Benoit Zerr, SACLANT (Italy)
Bjarne Stage, Danish Defense Research Establishment (Denmark)
Bent Haugsted, Danish Defense Research Establishment (Denmark)


Published in SPIE Proceedings Vol. 3710:
Detection and Remediation Technologies for Mines and Minelike Targets IV
Abinash C. Dubey; James F. Harvey; J. Thomas Broach; Regina E. Dugan, Editor(s)

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