Inversion of electromagnetic models for estimating bare soil parameters from radar multifrequency and multipolarization data

Nazzareno Pierdicca; Patrizia Basili; Piero Ciotti; Frank Silvio Marzano

doi:10.1117/12.331363

20 November 1998 Inversion of electromagnetic models for estimating bare soil parameters from radar multifrequency and multipolarization data

Nazzareno Pierdicca, Patrizia Basili, Piero Ciotti, Frank Silvio Marzano

Author Affiliations +

Proceedings Volume 3497, SAR Image Analysis, Modeling, and Techniques; (1998) https://doi.org/10.1117/12.331363
Event: Remote Sensing, 1998, Barcelona, Spain

Abstract

In this work we assess the practical feasibility of bare soil parameter estimation using multifrequency SAR polarimetric data. We use both the IEM and a semi-empirical model to simulate the radar measurements. We account for the multidimensional noise which is present in the measured polarimetric covariance matrix and compare different inversion algorithms, namely multivariate regression, maximum likelihood and minimum variance algorithms, and a neural network. The comparison are performed using different sets of radar parameters in order to assess the accuracy achievable by different radar configurations.

Citation Download Citation

Nazzareno Pierdicca, Patrizia Basili, Piero Ciotti, and Frank Silvio Marzano "Inversion of electromagnetic models for estimating bare soil parameters from radar multifrequency and multipolarization data", Proc. SPIE 3497, SAR Image Analysis, Modeling, and Techniques, (20 November 1998); https://doi.org/10.1117/12.331363

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