DocumentCode
3427975
Title
Parametric reconstruction of internal building structures via canonical scattering mechanisms
Author
Subotic, Nikola ; Keydel, Eric ; Burns, Joseph ; Morgan, Andrew ; Cooper, Kyle ; Thelen, Brian ; Wilson, Brian ; Williams, Wayne ; McCarty, Sean ; Lampe, Bernard ; Mosher, Bryan ; Setterdahl, Duane
Author_Institution
Michigan Tech Res. Inst., Ann Arbor, MI
fYear
2008
fDate
March 31 2008-April 4 2008
Firstpage
5189
Lastpage
5192
Abstract
In this paper, we describe a model-based, non-linear reconstruction method for mapping internal building structures using through-wall radar data. We based the model on canonical geometry constructs that are commonly used in construction practices. These constructs are then formulated as sets of simple scattering mechanisms, which can be estimated from the data. Our non-linear approach employs an iterative, conditional estimation method as a function of the intervening structures between the sensor and the object under consideration. Specific associations of scattering mechanisms are then used to re-create various building structures such as walls, doors, stairs, etc. We discuss some examples of estimating specific scattering mechanisms and a model-based reasoning approach for assembling them to reconstruct the interior structure of a building.
Keywords
building; electromagnetic wave scattering; iterative methods; parameter estimation; structural engineering computing; canonical scattering; conditional parameter estimation; internal building structures; iterative estimation; model-based reconstruction; nonlinear reconstruction; parametric reconstruction; through-wall radar data; Assembly; Backscatter; Buildings; Dielectrics; Floors; Geometry; Image reconstruction; Inference mechanisms; Radar scattering; Solid modeling; EM scattering; Through wall imaging; conditional parameter estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on
Conference_Location
Las Vegas, NV
ISSN
1520-6149
Print_ISBN
978-1-4244-1483-3
Electronic_ISBN
1520-6149
Type
conf
DOI
10.1109/ICASSP.2008.4518828
Filename
4518828
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