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A maximum likelihood analysis of the RVoG model for forestry studies in polarimetric SAR interferometry

Authors: López Martínez, Carlos; Alonso González, Alberto;

A maximum likelihood analysis of the RVoG model for forestry studies in polarimetric SAR interferometry

Abstract

This work analyses the validity of the RVoG model as- sumption in case of PolInSAR data in forestry analy- sis. In order to assure that the interferometric coherence describes a line, as imposed by the RVoG model, the normalized PolInSAR coherency matrix must be affine equivalent to an Hermitian matrix. On the basis of this observation, two tests for the RVoG model hypothesis are proposed. A test based on the analysis of the coherence region shape, and a test based on a Maximum Likelihood approach, on the basis of the zero mean, complex, Gaus- sian distribution. Preliminary results would indicate a larger validity of the model at P-band over L-band and, in case of Tropical forests.

Peer Reviewed

Country
Spain
Related Organizations
Keywords

Interferometria, Maximum likelihood ratio test, Interferometry, Speckle, Polarimetric SAR interferometry, Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Radar, Radar d'obertura sintètica, Syntethic aperture radar, Forest, RVoG

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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