Polarimetric SAR Interferometry (PolInSAR) and Inversion Modelling
نویسندگان
چکیده
Polarimetric SAR Interferometry (PolInSAR) is an advanced technique (Cloude and Papathanassiou, 1998) of Radar remote sensing that combines the advantages of Polarimetry and Interferometry. Using SAR Polarimetry target characteristics such as its orientation, material constituents (Boerner, 2006, 2004), shape and dielectric properties (Krieger et al.., 2005), permittivity as well as ensemble average entropy (Lee et al.., 2002; Neumann et al.., 2010) can be estimated. SAR Interferometry provides information on the coherence of the scattering mechanisms (Hellmann and Cloude, 2007) and the object’s spatial (range/in-depth) structure (Boerner, 2004) and estimates the location of the scatterer in vertical plane through the phase difference in the images acquired from spatially separated apertures at either ends of a baseline (Krieger et al.., 2005). Combination of polarimetry and interferometry leads to separation of scattering mechanisms within a resolution cell. For complex scattering media such as forests, various types of scatterers are present below the canopy. The underlying scattering mechanisms can be interpreted using PolInSAR (Hellmann and Cloude, 2007) as the scattering media physical properties are closely related to the polarimetric features observed. The polarimetric and interferometric information are complementary to each other which leads to the combination of both approaches in Polarimetric SAR Interferometry (PolInSAR). Cloude and Papathanassiou formulated the PolInSAR theory (Cloude and Papathanassiou, 1998) and demonstrated its applications using single-baseline PolInSAR data (Papathanassiou and Cloude, 2001) and its extension to multi-baseline data is presented in (Neumann et al.., 2010).
منابع مشابه
Multibaseline Polarimetric Sar Interferometry Forest Height Inversion Approaches
Polarimetric SAR interferometry (Pol-InSAR) is a radar remote sensing technique that is sensitive to the vertical distribution of scattering processes in volumes. The Random Volume over Ground (RVoG) model is a powerful tool used to invert forest height from PolInSAR data. But Pol-InSAR inversion performance depends critically on uncompensated decorrelation contributions (i.e. temporal decorrel...
متن کاملThree-stage inversion improvement for forest height estimation using dual-PolInSAR data
This paper addresses an algorithm for forest height estimation using single frequency single baseline dual polarization radar interferometry data. The proposed method is based on a physical two layer volume over ground model and is represented using polarimetric synthetic aperture radar interferometry (PolInSAR) technique. The presented algorithm provides the opportunity to take advantages of t...
متن کاملVegetation Parameter Extraction Using Dual Baseline Polarimetricsar Interferometry Data
For vegetation parameter inversion, the single baseline polarimetric SAR interferometry (POLinSAR) technique, such as the three-stage method and the ESPRIT algorithm, is limited by the observed data with the minimum ground to volume amplitude ration, which effects the estimation of the effective phase center for the vegetation canopy or the surface, and thus results in the underestimated vegeta...
متن کاملResearch on Inversion Models for Forest Height Estimation Using Polarimetric Sar Interferometry
The forest height is an important forest resource information parameter and usually used in biomass estimation. Forest height extraction with PolInSAR is a hot research field of imaging SAR remote sensing. SAR interferometry is a well-established SAR technique to estimate the vertical location of the effective scattering center in each resolution cell through the phase difference in images acqu...
متن کاملPolarimetric Interferometry – Remote Sensing Applications
This lecture is mainly based on the work of S.R. Cloude and presents examples for remote sensing applications Polarimetric SAR Interferometry (PolInSAR). PolInSAR has its origins in remote sensing and was first developed for applications in 1997 using SIRC L-Band data [1,2]. In its original form it involved generating phase differences between interferograms formed using different polarization ...
متن کامل