Loading...
Loading...

Go to the content (press return)

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

Author
Lopez, C.; Alonso, A.
Type of activity
Presentation of work at congresses
Name of edition
6th International Workshop on Science and Applications of SAR Polarimetry and Polarimetric Interferometry
Date of publication
2013
Presentation's date
2013-01
Book of congress proceedings
Proceedings of 6th International Workshop on Science and Applications of SAR Polarimetry and Polarimetric Interferometry
Publisher
European Space Agency (ESA)
Repository
http://hdl.handle.net/2117/86781 Open in new window
URL
https://earth.esa.int/web/guest/polinsar-2013/workshop-programme Open in new window
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 approa...
Citation
Lopez, C., Alonso, A. A maximum likelihood analysis of the RVoG model for forestry studies in polarimetric SAR interferometry. A: International Workshop on Science and Applications of SAR Polarimetry and Polarimetric Interferometry. "Proceedings of 6th International Workshop on Science and Applications of SAR Polarimetry and Polarimetric Interferometry". Frascati: European Space Agency (ESA), 2013.
Keywords
Forest, Maximum likelihood ratio test, Polarimetric SAR interferometry, RVoG, Speckle
Group of research
RSLAB - Remote Sensing Lab

Participants