000011545 001__ 11545
000011545 005__ 20141205155921.0
000011545 04107 $$aeng
000011545 046__ $$k2008-10-12
000011545 100__ $$aSarabandi, Pooya
000011545 24500 $$aBuilding Inventory Information Extraction From Remote Sensing Data and Statistical Models

000011545 24630 $$n14.$$pProceedings of the 14th World Conference on Earthquake Engineering
000011545 260__ $$b
000011545 506__ $$arestricted
000011545 520__ $$2eng$$aIn this paper, algorithms for extracting building attribute information from remotely sensed data are presented. In particular, a methodology for rapidly extracting spatial and structural information from a single highresolution satellite image, using rational polynomial coefficients (RPCs) as a camera replacement model is introduced. Geometric information defining satellite’s sensor orientation is used in conjunction with the RPC projection model to generate an accurate digital elevation model (DEM). Additionally, a methodology for inferring engineering attributes of the built-environment, i.e. structural type and occupancy type of buildings, from 3-D building models is formulated. A dataset collected for Southern California, USA, is used to train multinomial logistic regression models and establish inference rules in order to predict the regional engineering parameters of the buildings. Classification error and prediction power of these models are then presented in the paper and an example of the marginal probability distribution computed for a sample building is shown.

000011545 540__ $$aText je chráněný podle autorského zákona č. 121/2000 Sb.
000011545 653__ $$aBuilding Inventory, Remote Sensing, Rational Function Model, Height Extraction, 3-D Building Modeling, Statistical Modeling, Inference Rules, Multinomial Logistic Regression.

000011545 7112_ $$a14th World Conference on Earthquake Engineering$$cBejing (CN)$$d2008-10-12 / 2008-10-17$$gWCEE15
000011545 720__ $$aSarabandi, Pooya$$iKiremidjian, Anne S.
000011545 8560_ $$ffischerc@itam.cas.cz
000011545 8564_ $$s321521$$uhttps://invenio.itam.cas.cz/record/11545/files/11-0136.pdf$$yOriginal version of the author's contribution as presented on CD, Paper ID: 11-0136.
000011545 962__ $$r9324
000011545 980__ $$aPAPER