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Proceedings Paper

Inversion of electromagnetic models for estimating bare soil parameters from radar multifrequency and multipolarization data
Author(s): Nazzareno Pierdicca; Patrizia Basili; Piero Ciotti; Frank Silvio Marzano
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Paper 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.

Paper Details

Date Published: 20 November 1998
PDF: 9 pages
Proc. SPIE 3497, SAR Image Analysis, Modeling, and Techniques, (20 November 1998);
Show Author Affiliations
Nazzareno Pierdicca, Univ. of Rome La Sapienza (Italy)
Patrizia Basili, Univ. of Perugia (Italy)
Piero Ciotti, Univ. of L'Aquila (Italy)
Frank Silvio Marzano, Univ. of L'Aquila (Italy)


Published in SPIE Proceedings Vol. 3497:
SAR Image Analysis, Modeling, and Techniques
Francesco Posa, Editor(s)

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