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Inversion algorithms comparison using L-band simulated polarimetric interferometric data for forest parameters estimation

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6 Author(s)

Polarimetric SAR interferometric data can provide estimates of forest biomass density. There are different approaches to deal with the inversion problem, such as neural networks and the traditional optimal estimation approach. This paper presents a study to evaluate their performance by means of quantitative indexes addressing both the computation time and the retrieval accuracy. Better forest parameters estimates have been obtained when neural networks algorithms were used.

Published in:

Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007. IEEE International

Date of Conference:

23-28 July 2007