Advantage of the ESPRIT Method in Polarimetric Interferometry for Forest Analysis (Sensing)

概要

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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 interferomotric phase of local scatterers with polarimetric and interferometric he 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 KSPRIT 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.
社団法人電子情報通信学会の論文
2003-05-01