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------=_NextPart_01C56130.49683DE0 Content-Location: file:///C:/B1335333/383_files/pres.xml Content-Transfer-Encoding: quoted-printable Content-Type: text/xml; charset="utf-8" ------=_NextPart_01C56130.49683DE0 Content-Location: file:///C:/B1335333/383_files/slide0001.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" Globe 4
1 = ;
KNOWLEDGE-BASED PRO= CESS MANAGEMENT TO POPULATE DATABASES WITH
3D MULTI-REPRESENTATION OF BUILDINGS
&#= 13;
20th May 2005
Benoit Frédéricque, Sylvie Daniel, <= /span>Yvan Bédard and Nicolas Paparoditis =
ISPRS Hannover Workshop 2005
= High-Resolution Earth Imaging= for Geospatial Information
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&= #8211;3D modelling
&= #8211;Map on demand
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5
Needs
&#= 8226;Increasing needs for :
&= #8211;3D modelling
&= #8211;Map on demand
&= #8211;Decisional DataBases :
&= #8226;SOLAP, DATAMING
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Problematic
The current solutions are expensive due= to the extent of the human interaction in = the workflow.
<= span style=3D'font-family:Myriad-Italic'>How to improve the automation of the building’s 3D-MRDB population processes ?
R= 26;
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Related works
1) Fine L= evel Geometries extraction
2) Coarse= Level Geometries extraction
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Related works
R= 26;1) Fine Level Geometries extraction
&= #8211;Aerial and Space data exploitation (cost)
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Related works
R= 26;1) Fine Level Geometries extraction
&= #8211;Aerial and Space data exploitation (cost)
&= #8211;A lot of researches towards automation
R= 26;
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