Date of Award
2000
Document Type
Thesis
Publication Status
Version of Record
Submission Date
October 2026
Thesis/Dissertation Advisor [Chair]
Schock, Steven G.
Abstract
An automatic mine detection method has been designed for the purpose of locating mine-like objects on the seabed in real time using a high frequency, high resolution side scan sonar. The processing flow includes a calculation of the average scattering function of the local environment, shadow detection, and a fuzzy logic clustering/fuzzy logic detection procedure for identifying mine-like shadows. An Autonomous Underwater Vehicle (AUV) equipped with a fuzzy detection system gives the Navy the capability of rapidly locating bottom mines in littoral underwater environments during over-the-horizon operations.
Extent
127 p.
Recommended Citation
Bauer, Eric John, "Fuzzy auto-detection of bottom mines" (2000). Electronic Theses and Dissertations 2000 - 2009. 62.
https://digitalcommons.fau.edu/etd_general_5/62
Identifier
FADT12705
Comments
College of Engineering and Computer Science|FAU Electronic Theses and Dissertations Collection|Thesis (M.S.)--Florida Atlantic University, 2000.|College of Engineering and Computer Science