Share Email Print
cover

Proceedings Paper

A Bayesian approach to retrieve soil parameters from SAR data: Effect of prior information
Author(s): Matias Barber; Martin Maas; Pablo Perna; Francisco Grings; Haydee Karszenbaum
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Soil moisture retrieval from SAR images is always affected by speckle noise, model errors and uncertainties associated to soil parameters, which impact negatively on the accuracy of soil moisture estimates. A Bayesian approach has been proposed to deal with these issues. As a natural advantage of the Bayesian approach, prior information about soil condition can be easily included. Based on simulations, the effect of prior information has been analyzed. It follows from simulations using the Oh's model that the soil moisture estimator is very sensitivity to the roughness prior.

Paper Details

Date Published: 21 November 2012
PDF: 7 pages
Proc. SPIE 8536, SAR Image Analysis, Modeling, and Techniques XII, 85360N (21 November 2012); doi: 10.1117/12.974253
Show Author Affiliations
Matias Barber, Instituto de Astronomía y Física del Espacio (Argentina)
Martin Maas, Instituto de Astronomía y Física del Espacio (Argentina)
Pablo Perna, Instituto de Astronomía y Física del Espacio (Argentina)
Francisco Grings, Instituto de Astronomía y Física del Espacio (Argentina)
Haydee Karszenbaum, Instituto de Astronomía y Física del Espacio (Argentina)


Published in SPIE Proceedings Vol. 8536:
SAR Image Analysis, Modeling, and Techniques XII
Claudia Notarnicola; Simonetta Paloscia; Nazzareno Pierdicca, Editor(s)

© SPIE. Terms of Use
Back to Top