DocumentCode :
2666712
Title :
Multibaseline POL-InSAR analysis of urban scenes for 3D modeling and physical feature retrieval at L-band
Author :
Sauer, Stefan ; Ferro-Famil, Laurent ; Reigber, Andreas ; Pottier, Eric
Author_Institution :
Rennes Univ. 1, Rennes
fYear :
2007
fDate :
23-28 July 2007
Firstpage :
1098
Lastpage :
1101
Abstract :
This paper generalizes a multibaseline interferometric SAR signal model taking polarization diversity into account. Based on this formulation, two high-performance spectral analysis techniques are extended to the multibaseline POL-InSAR configuration. These new algorithms enhance the height estimation of scatterers by calculating optimal polarization combinations and allow to determine their physical characteristics. Applying the methods to urban scenes, experimental results show the retrieval of building height and polarimetric properties by means of single-baseline polarimetric datasets. Dual-baseline observations permit the solution of the layover problem by separating two contributions within one resolution cell. The algorithms are tested using multibaseline Pol-InSAR data acquired by DLR´s E-SAR system over Dresden city.
Keywords :
cartography; geophysical techniques; radar interferometry; 3D modeling; Dresden city; L-band; building height; dual-baseline observations; height estimation; multibaseline POL-InSAR analysis; multibaseline interferometric SAR signal; optimal polarization combination; physical feature retrieval; polarization diversity; spectral analysis technique; urban scenes; Cities and towns; Covariance matrix; L-band; Layout; Maximum likelihood estimation; Multiple signal classification; Polarization; Scattering; Spectral analysis; Synthetic aperture radar interferometry;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007. IEEE International
Conference_Location :
Barcelona
Print_ISBN :
978-1-4244-1211-2
Electronic_ISBN :
978-1-4244-1212-9
Type :
conf
DOI :
10.1109/IGARSS.2007.4422993
Filename :
4422993
Link To Document :
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