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

Volume

3

fYear

2009

fDate

12-17 July 2009

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;

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.2009.5417937

Filename

5417937