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dc.contributor.authorHealey, Anthony J.
dc.contributor.authorMukherjee, Ranjan
dc.date9/30/1993
dc.date.accessioned2013-02-27T23:23:46Z
dc.date.available2013-02-27T23:23:46Z
dc.date.issued1993-09-30
dc.identifier.urihttp://hdl.handle.net/10945/28819
dc.description.abstractThis work has involved the use of the Naval Postgraduate School's TRITECH ST 725 high frequency mechanically scanned sonar system to acquire sonar images of simulated surface roughness on an aluminum plate. Signal post processing for such image data is reviewed, and post processed data is analyzed and compared to the known roughness locations on the plate. The simulated roughness pattern of one half inch steel nuts is used as a preliminary experiment in the developemnt of a sonar detection system for marine growth on ship hull plating. Such a sonar system will be an integral part of any ship hull cleaning robot (SHACR). Contained in this report is a description of the experimental arrangement, typical sonar returns, a summary of image processing techniques, and results of processed data. The algorithms presented here will ultimately lead to a real time processing capability for the specification of location and extent of roughness as needed tfor the automatic direction of the robot's motion.en_US
dc.description.sponsorshipNaval Postgraduate School and Naval Surface Warfare Center, David Taylor Research Centeren_US
dc.description.urihttp://archive.org/details/sonarsignalacqui00heal
dc.format.extentiv, 35 p.: ill. ; 28 cm.en_US
dc.language.isoen_US
dc.publisherMonterey, California. Naval Postgraduate Schoolen_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.en_US
dc.subject.lcshCLEANINGen_US
dc.titleSonar signal acquisition and processing for identification and classification of ship hull foulingen_US
dc.typeTechnical Reporten_US
dc.contributor.corporateNaval Postgraduate School (U.S.)
dc.contributor.departmentMechanical Engineering
dc.subject.authorSonar Imagingen_US
dc.subject.authorRoboticsen_US
dc.subject.authorHull Cleaningen_US
dc.subject.authorAutonomous Systemsen_US
dc.description.funderNaval Postgraduate School and Naval Surface Warfare Center, David Taylor Research Centeren_US
dc.identifier.oclca194613
dc.identifier.npsreportNPS-ME-93-007
dc.description.distributionstatementApproved for public release; distribution is unlimited.


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