3-D characterization of buildings in a dense urban environment using L-band Pol-InSAR data with irregular baselines

Author

Huang, Yue ; Ferro-Famil, Laurent

Author_Institution

Inst. of Telecommun. & Electron. of Rennes, Univ. of Rennes 1, Rennes, France

Volume

3

fYear

2009

fDate

12-17 July 2009

Abstract

Diverse spectral estimations methods, i.e. MUSIC, Maximum Likelihood (ML), Weighted Subspace fitting (WSF), are proposed and applied to the estimation of building height dense urban environments and to the retrieval of scatterers´ physical properties. Compared to other estimators, the polarimetric WSF estimator is optimally model adaptive and results in reduced sidelobes induced by irregularly sampled baselines.

Keywords

building; maximum likelihood estimation; radar interferometry; radar polarimetry; remote sensing by radar; synthetic aperture radar; 3D building characterization; L-band Pol-InSAR data; MUSIC; building height; dense urban environment; diverse spectral estimations methods; maximum likelihood estimation; polarimetric WSF estimator; weighted subspace fitting; Additive noise; Backscatter; Covariance matrix; L-band; Maximum likelihood estimation; Multiple signal classification; Scattering; Stochastic processes; Urban areas; Vegetation;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium,2009 IEEE International,IGARSS 2009

Conference_Location

Cape Town

Print_ISBN

978-1-4244-3394-0

Electronic_ISBN

978-1-4244-3395-7

Type

conf

DOI

10.1109/IGARSS.2009.5418223

Filename

5418223