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Proceedings Paper

Pseudo multisensor fusion schemes for mine detection in side-scan sonar images
Author(s): Weiming Guo; William G. Szymczak
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Paper Abstract

Most of the fusion algorithms reported operate in a multi- sensor environment. In this paper, we investigate a novel fusion strategy that operates on images obtained from a single sensor. There exists a variety of methods for mien detection in sonar or laser line scan images, but single method can be considered as the best under all circumstances. Targets missed by certain algorithms might be detected by others. It can be shown that, by applying various algorithms to the same mine detection task and fusing the decisions together, one can obtain a superior detector. However, in certain difficult applications, the weaknesses of various classifiers reinforce each other. This may be due to the fact that when most classifiers are developed, the primary goal is always to achieve the highest detection over false alarm ratio. Thus, certain type of targets might be neglected by most of the detection algorithms in favor of many other targets that can be easily detected. This scenario posts challenges to decision level fusion algorithm developers, who have to develop several complementary detection algorithms. The novel fusion strategy we described in this paper applies different image enhancement algorithms to the same image before the classification stage. Since image enhancement algorithms are more diversified than detection algorithms, they tend to highlight complementary features of the mien targets in the same data set, thus producing a pseudo multi-sensor environment. These detection decisions on multiple looks of the same image are then fused together to create a superior detection scheme.

Paper Details

Date Published: 2 August 1999
PDF: 9 pages
Proc. SPIE 3710, Detection and Remediation Technologies for Mines and Minelike Targets IV, (2 August 1999); doi: 10.1117/12.357086
Show Author Affiliations
Weiming Guo, SFA, Inc. (United States)
William G. Szymczak, Naval Research Lab. (United States)

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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