Title :
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
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;
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
DOI :
10.1109/IGARSS.2009.5418223
