Advantage of the ESPRIT Method in Polarimetric Interferometry for Forest Analysis

Koichi SATO  Hiroyoshi YAMADA  Yoshio YAMAGUCHI  

IEICE TRANSACTIONS on Communications   Vol.E86-B   No.5   pp.1666-1672
Publication Date: 2003/05/01
Online ISSN: 
Print ISSN: 0916-8516
Type of Manuscript: PAPER
Category: Sensing
ESPRIT algorithm,  SAR interferometry,  radar polarimetry,  polarimetric interferometry,  forest,  

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Polarimetric SAR interferometry has been successful and attractive for forest parameters (tree height and canopy extinction) estimation. In this paper, we propose to use the ESPRIT algorithm to extract the interferometric phase of local scatterers with polarimetric and interferometric SAR data. Two or three local scattering waves can be extracted at each image patch when a fully polarimetric data set (HH, HV, VV) is available. Furthermore, the ESPRIT can estimate two dominant local scattering centers when only a dual polarimetric data set (e.g., VV and VH) is provided. In order to demonstrate effectiveness the proposed technqiue, we examined the relation between local scattering centers extracted by this method and complex coherence of the coherent scattering model for vegetation cover. The results show that the three-wave estimation can be more accurate than the two-wave case. The extracted interferometric phases with full and dual polarization data sets correspond to effective ground and canopy scattering centers. In this investigation, SIR-C/X-SAR data of the Tien Shan flight-pass are used.