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dc.contributor.advisorSingh, Gurminder
dc.contributor.authorDavis, Nicholas J.
dc.date.accessioned2019-02-13T22:48:19Z
dc.date.available2019-02-13T22:48:19Z
dc.date.issued2018-12
dc.identifier.urihttp://hdl.handle.net/10945/61346
dc.descriptionApproved for public release. distribution is unlimiteden_US
dc.description.abstractAirfield Damage Repair (ADR) is among the most important expeditionary activities for our military. The goal of ADR is to restore a damaged airfield to operational status as quickly as possible. Before the process of ADR can begin, however, the damage to the airfield needs to be assessed. As a result, Airfield Damage Assessment (ADA) has received considerable attention. Often in a damaged airfield, there is an expectation of unexploded ordnance, which makes ADA a slow, difficult, and dangerous process. For this reason, it is best to make ADA completely unmanned and automated. Additionally, ADA needs to be executed as quickly as possible so that ADR can begin and the airfield restored to a usable condition. Among other modalities, tower-based monitoring and remote sensor systems are often used for ADA. There is now an opportunity to investigate the use of commercial-off-the-shelf, low-cost, automated sensor systems for automatic damage detection. By developing a combination of ground-based and Unmanned Aerial Vehicle sensor systems, we demonstrate the completion of ADA in a safe, efficient, and cost-effective manner.en_US
dc.description.urihttp://archive.org/details/expeditionarylog1094561346
dc.publisherMonterey, CA; 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.titleEXPEDITIONARY LOGISTICS: A LOW-COST, DEPLOYABLE, UNMANNED AERIAL SYSTEM FOR AIRFIELD DAMAGE ASSESSMENTen_US
dc.typeThesisen_US
dc.contributor.secondreaderPrince, Charles D.
dc.contributor.secondreaderMcCarrin, Michael R.
dc.contributor.departmentComputer Science (CS)
dc.subject.authorairfield damage assessmenten_US
dc.subject.authorairfield damage repairen_US
dc.subject.author3D point clouden_US
dc.subject.authorimage stitchingen_US
dc.subject.authorneural networken_US
dc.subject.authorobject detectionen_US
dc.subject.authorunmanned Aerial vehicleen_US
dc.subject.authorunmanned aerial systemen_US
dc.description.recognitionOutstanding Thesisen_US
dc.description.serviceLieutenant, United States Navyen_US
etd.thesisdegree.nameMaster of Science in Computer Scienceen_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.disciplineComputer Scienceen_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US
dc.identifier.thesisid30153


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