Show simple item record

dc.contributor.advisorDarken, Rudolph
dc.contributor.authorWells, William D.
dc.dateSeptember 2005
dc.date.accessioned2012-08-22T15:31:02Z
dc.date.available2012-08-22T15:31:02Z
dc.date.issued2005-09
dc.identifier.urihttp://hdl.handle.net/10945/10052
dc.description.abstractVirtual battlefields devoid of vegetation deprive soldiers of valuable training in the critical aspects of terrain tactics and terrain-based situational awareness, but creating realistic landscapes by hand is notoriously expensive; requiring both proprietary tools and trained artists, hampering rapid scenario generation and limiting reuse. GENETICS is a new object placement scheme where the arduous task of placing vegetation objects is reduced to finding readily-available source data and setting a few parameters. Our approach constructs large-scale natural environments at run-time using a procedural image-based algorithm without the need for skilled artists or proprietary tools. The resulting vegetation-laden terrain looks realistic, and the algorithm can be extended to incorporate a wide variety of environmental factors. GENETICS offers researchers the ability to quickly and easily build consistent large-scale synthetic natural environments to examine vegetation clutter requirements necessary to accomplish distributed mission training tasks. This dissertation presents and implements the GENETICS algorithm, compares it against other vegetation placement schemes, and outlines how simulationists can use GENETICS to quickly and cheaply build large-scale natural environments. It also touches upon level of detail algorithms, ecotype modeling and how GENETICS can be used to generate land cover data where none exists.en_US
dc.description.urihttp://archive.org/details/generatingenhanc1094510052
dc.format.extentxviii, 149 p. : ill. (some col.)en_US
dc.format.extent28 cm.en_US
dc.publisherMonterey, California. Naval Postgraduate Schoolen_US
dc.subject.lcshVirtual reality.en_US
dc.titleGenerating enhanced natural environments and terrain for interactive combat simulations (GENETICS)en_US
dc.typeThesisen_US
dc.contributor.corporateNaval Postgraduate School
dc.contributor.departmentModeling, Virtual Environments and Simulation (MOVES) Academic Committee
dc.contributor.departmentComputer Science
dc.subject.authorTerrain Visualizationen_US
dc.subject.authorVegetation Placementen_US
dc.subject.authorVirtual Landscapesen_US
dc.subject.authorSynthetic Natural Environmentsen_US
dc.subject.authorReal-time Simulationen_US
dc.subject.authorEcotype Modelingen_US
dc.description.serviceUS Air Force (USAF) authoren_US
etd.thesisdegree.namePh.D in Modeling, Virtual Environments and Simulation (MOVES)en_US
etd.thesisdegree.levelDoctoralen_US
etd.thesisdegree.disciplineModeling, Virtual Environments, and Simulation Institute (MOVES)en_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US
dc.description.distributionstatementApproved for public release; distribution is unlimited.


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record