DocumentCode
1207023
Title
Through-the-Wall SAR Attributed Scattering Center Feature Estimation
Author
Ertin, Emre ; Moses, Randolph L.
Author_Institution
Dept. of Electr. & Comput. Eng., Ohio State Univ., Columbus, OH
Volume
47
Issue
5
fYear
2009
fDate
5/1/2009 12:00:00 AM
Firstpage
1338
Lastpage
1348
Abstract
We consider characterization of building interior structure from two-pass interferometric circular synthetic aperture radar data. We model returns from complex building structures as the sum of the responses from scattering primitives-plates, dihedrals, and trihedrals-observed through transfer functions that characterize both the transmission through and reflection from dielectric surfaces. Maximum-likelihood estimates for the location of primitive features and wall propagation/reflection parameters are obtained through a two-stage detection-and-estimation algorithm. We employ a sparse reconstruction algorithm to detect primitive signatures in the presence of wall effects and refine our estimates using a nonlinear minimization of local cost functions. We show that using simplified wall and primitive models, we can extract geometrically relevant features which can be combined to reveal 3-D floorplan estimates of buildings. Examples illustrate the effectiveness of the feature extraction approach.
Keywords
electromagnetic wave propagation; electromagnetic wave reflection; electromagnetic wave scattering; feature extraction; maximum likelihood estimation; radar imaging; synthetic aperture radar; transfer functions; 3D floorplan estimation; feature extraction approach; maximum-likelihood estimation; nonlinear minimization; radar imaging; reflection parameters; scattering center feature estimation; sparse reconstruction algorithm; transfer functions; two-pass interferometric circular synthetic aperture radar data; two-stage detection-and-estimation algorithm; wall propagation; Buildings; feature extraction; maximum-likelihood (ML) estimation; radar imaging; radar signal processing;
fLanguage
English
Journal_Title
Geoscience and Remote Sensing, IEEE Transactions on
Publisher
ieee
ISSN
0196-2892
Type
jour
DOI
10.1109/TGRS.2008.2008999
Filename
4806073
Link To Document