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- W2978320896 abstract "Although databases forgeographic information systems (GIS) havebeendeveloped tomanagedigital mapdata, theintegration ofremotely sensed imagery andothercollateral non-map information israrely performed. Forthemostpart, theuseofsophisticated intel- ligent spatial databases, inwhich theusercanquery interactively about map,terrain, orassociated imagery, isunknownintheGISandcar- tographic community. Instandard GISsystems, theability toformu- latecomplex queries requiring dynamic computation offactual and geometric properties isseverely limited, often reflecting itsorigin as collections ofthematic mapoverlays. Spatial database research re- quires theintegration ofideas andtechniques frommanydisciplines suchascomputer graphics, computational geometry, database meth- odology, imageanalysis, photogrammetry, andartificial intelligence. Inthis paperwediscuss someideas onhowthescopeofgeographic information systems canbeexpanded byutilizing techniques fromthe Alcommunity thatmayremedy deficiencies inuserinterfaces, spatial datarepresentation, anditsutilization. We drawonongoing research atCarnegie Mellon University forexamples ofthese techniques inthe areasofimage/map database andknowledge-based image interpreta- tion. theU.S.ArmyEngineer Topographic Laboratories. This paper iswritten fromtheperspective ofacomputer sci- entist working theareas ofcomputer vision andartificial intelligence asapplied tospatial databases andknowl- edge-based aerial imageanalysis. Ourviewofaspatial database isquite broad andgeneral: itshould contain ac- cesstothree-dimensional entities, bothnatural andman- made,tied totheir geographic coordinates, witharich andflexible setofattributes anddescriptions. A flexible attribute setisonewheretheuser, rather thanthesystem architecture, defines thesets ofproperties orattributes that aspatial entity canassume. Thisalsoholdsforthere- trieval mechanisms provided bythesystem. Thisbroad scope hassomeadvantages. We arenotfocused onapar- ticular application domainsuchasforestry, agronomy, geology, orcartography. Ourgoalistoproduce ageneral framework within whichmanyapplications canbeac- commodated. Further, these requirements begin tocross theline between traditional database methodologies and knowledge basedesign andmaintenance methodologies (2). Howwellweachieve that goalcanbejudged bythe variety ofapplications that canbesupported bythespatial database architecture, someofwhicharebriefly described inthis paper. Theprimary thrust ofthis paper isthat theconcept of ageographic information system should beextended to include remotely sensed imagery, andthat suchimagery canbecomeafocus foruserinteraction, spatial database update, andemerging imageinterpretation andanalysis capabilities. Secondarily, subareas ofAlsuchasknowl- edgerepresentation andutilization, knowledge acquisi- tion, andcomputer vision havereached astage ofmatu- ritythatwillhaveimpacton spatial database representation andlanduse classification systems based on remotely sensed imagery. Inthis section weexpand upon these ideas." @default.
- W2978320896 created "2019-10-10" @default.
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- W2978320896 date "1987-01-01" @default.
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- W2978320896 title "The Role of Artificial Intelligence intheIntegration of Remotely SensedDatawith Geographic InformationSystems" @default.
- W2978320896 hasPublicationYear "1987" @default.
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