Sensors 2008, 8(12), 8181-8200; doi:10.3390/s8128181
Article

Inversion of Electromagnetic Models for Bare Soil Parameter Estimation from Multifrequency Polarimetric SAR Data

Received: 23 September 2008; in revised form: 11 November 2008 / Accepted: 2 December 2008 / Published: 11 December 2008
(This article belongs to the Special Issue Synthetic Aperture Radar (SAR))
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract: The potentiality of polarimetric SAR data for the estimation of bare soil geophysical parameters (i.e., roughness and soil moisture) is investigated in this work. For this purpose, two forward models available in the literature, able to simulate the measurements of a multifrequency radar polarimeter, have been implemented for use within an inversion scheme. A multiplicative noise has been considered in the multidimensional space of the elements of the polarimetric Covariance Matrix, by adopting a complex Wishart distribution to account for speckle effects. An additive error has been also introduced on the simulated measurements to account for calibration and model errors. Maximum a Posteriori Probability and Minimum Variance criteria have been considered to perform the inversion. As for the algorithms to implement the criteria, simple optimization/integration procedures have been used. A Neural Network approach has been adopted as well. A correlation between the roughness parameters has been also supposed in the simulation as a priori information, to evaluate its effect on the estimation accuracy. The methods have been tested on simulated data to compare their performances as function of number of looks, incidence angles and frequency bands, thus identifying the best radar configuration in terms of estimation accuracy. Polarimetric measurements acquired during MAC Europe and SIR-C campaigns, over selected bare soil fields, have been also used as validation data.
Keywords: Radar polarimetry; SAR; bare soil; soil moisture
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MDPI and ACS Style

Pierdicca, N.; Castracane, P.; Pulvirenti, L. Inversion of Electromagnetic Models for Bare Soil Parameter Estimation from Multifrequency Polarimetric SAR Data. Sensors 2008, 8, 8181-8200.

AMA Style

Pierdicca N, Castracane P, Pulvirenti L. Inversion of Electromagnetic Models for Bare Soil Parameter Estimation from Multifrequency Polarimetric SAR Data. Sensors. 2008; 8(12):8181-8200.

Chicago/Turabian Style

Pierdicca, Nazzareno; Castracane, Paolo; Pulvirenti, Luca. 2008. "Inversion of Electromagnetic Models for Bare Soil Parameter Estimation from Multifrequency Polarimetric SAR Data." Sensors 8, no. 12: 8181-8200.

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