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

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2 Author(s)
Yue Huang ; Inst. of Telecommun. & Electron. of Rennes, Univ. of Rennes 1, Rennes, France ; Ferro-Famil, L.

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.

Published in:

Geoscience and Remote Sensing Symposium,2009 IEEE International,IGARSS 2009  (Volume:3 )

Date of Conference:

12-17 July 2009