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Proceedings Paper

Fusing sonar images for mine detection and classification
Author(s): Gerald J. Dobeck
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Paper Abstract

An image fusion method is developed for sonar systems that collect multiple images in a single pass. This research builds on our past work with automated detection and classification of sea mines in side-looking sonar imagery. The new method has the following processing step. Each image is processed separately by our automated detection and classification algorithm. Next detections in the images are collated into two general categories: (1) detections appearing in only one image and (2) detections appearing in multiple images. A fuzzy-logic procedure is used to fuse the detections that are common to multiple images. The final 'fused' classifications will fall under two general descriptions: (1) classifications where sufficient mine-like evidence had to be accumulated over multiple images. This fusion process dramatically reduces false alarms.

Paper Details

Date Published: 2 August 1999
PDF: 13 pages
Proc. SPIE 3710, Detection and Remediation Technologies for Mines and Minelike Targets IV, (2 August 1999); doi: 10.1117/12.357082
Show Author Affiliations
Gerald J. Dobeck, Naval Surface Warfare Ctr. (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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