You are here
methodology to detect and classify underwater unexploded ordnance in DIDSON sonar images
| Title: | A methodology to detect and classify underwater unexploded ordnance in DIDSON sonar images. |
 1001 views 887 downloads |
|---|---|---|
| Name(s): |
Brisson, Lisa Nicole. College of Engineering and Computer Science Department of Ocean and Mechanical Engineering |
|
| Type of Resource: | text | |
| Genre: | Electronic Thesis Or Dissertation | |
| Date Issued: | 2010 | |
| Publisher: | Florida Atlantic University | |
| Physical Form: | electronic | |
| Extent: | xxi, 150 p. : ill. (some col.) | |
| Language(s): | English | |
| Summary: | High-resolution sonar systems are primarily used for ocean floor surveys and port security operations but produce images of limited resolution. In turn, a sonar-specific methodology is required to detect and classify underwater unexploded ordnance (UXO) using the low-resolution sonar data. After researching and reviewing numerous approaches the Multiple Aspect-Fixed Range Template Matching (MAFR-TM) algorithm was developed. The MAFR-TM algorithm is specifically designed to detect and classify a target of high characteristic impedance in an environment that contains similar shaped objects of low characteristic impedance. MAFR-TM is tested against a tank and field data set collected by the Sound Metrics Corp. DIDSON US300. This thesis document proves the MAFR-TM can detect, classify, orient, and locate a target in the sector-scan sonar images. This paper focuses on the MAFR-TM algorithm and its results. | |
| Identifier: | 651934106 (oclc), 2683533 (digitool), FADT2683533 (IID), fau:3507 (fedora) | |
| Note(s): |
by Lisa Nicole Brisson. Thesis (M.S.C.S.)--Florida Atlantic University, 2010. Includes bibliography. Electronic reproduction. Boca Raton, Fla., 2010. Mode of access: World Wide Web. |
|
| Subject(s): |
Ocean tomography Unexploded ordnance -- Detection -- Methodology Underwater acoustics Signal processing -- Digital techniques |
|
| Persistent Link to This Record: | http://purl.flvc.org/FAU/2683533 | |
| Use and Reproduction: | http://rightsstatements.org/vocab/InC/1.0/ | |
| Host Institution: | FAU |
