Title :
Multi-baseline POL-inSAR statistical techniques for the characterization of distributed media
Author :
Ferro-Famil, Laurent ; Neumann, Maxim ; Huang, Yue
Author_Institution :
IETR, Univ. of Rennes 1, Rennes, France
Abstract :
This paper presents principles and robust techniques to estimate physical parameters of natural environments using Multi-Baseline Polarimetric and Interferometric SAR (MB-POL-inSAR) data. The first part of this paper concerns the abstract topic of MB-POL-inSAR coherence optimization The second part is dedicated to the general estimation of the coherence line model parameters [1]. It is demonstrated that the line parameters can be estimated in an analytical and robust way by using the whole available POL-inSAR information.
Keywords :
geophysical image processing; radar imaging; radar polarimetry; statistical analysis; MB-POL-inSAR data; Multi-Baseline Polarimetric and Interferometric SAR; coherence line model parameters; coherence optimization; distributed media characterization; multibaseline POL-inSAR statistical techniques; natural environments; Coherence; Eigenvalues and eigenfunctions; Information analysis; Matrix decomposition; Parameter estimation; Polarization; Robustness; Scattering; Singular value decomposition; Stacking;
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.2009.5417937