Sonar image enhancements for improved detection of sea mines

Karl Jespersen; Helge B.D. Sorensen; Benoit Zerr; Bjarne Stage; Bent Haugsted

doi:10.1117/12.357077

2 August 1999 Sonar image enhancements for improved detection of sea mines

Karl Jespersen, Helge B.D. Sorensen, Benoit Zerr, Bjarne Stage, Bent Haugsted

Proceedings Volume 3710, Detection and Remediation Technologies for Mines and Minelike Targets IV; (1999) https://doi.org/10.1117/12.357077
Event: AeroSense '99, 1999, Orlando, FL, United States

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.

Citation Download Citation

Karl Jespersen, Helge B.D. Sorensen, Benoit Zerr, Bjarne Stage, and Bent Haugsted "Sonar image enhancements for improved detection of sea mines", Proc. SPIE 3710, Detection and Remediation Technologies for Mines and Minelike Targets IV, (2 August 1999); https://doi.org/10.1117/12.357077

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