INVESTIGADORES
LUCINI Maria magdalena
artículos
Título:
M- Estimators of Roughness and Scale for GA0 modelled SAR Imagery
Autor/es:
BUSTOS, OSCAR H; LUCINI, MAR√ćA MAGDALENA; FRERY, ALEJANDRO CESAR
Revista:
EURASTP JOURNAL AN APPLIED SIGNAL PROCESSING
Editorial:
Hindawi Publishing Corp.
Referencias:
Año: 2002 vol. 2002 p. 105 - 114
ISSN:
1110-8657
Resumen:
The G0A distribution is assumed as the universal model formultilook amplitude SAR imagery data under themultiplicativemodel. This distribution has two unknown parameters related to the roughness and the scale of the signal, that can be used in image analysis and processing. It can be seen that maximum likelihood and moment estimators for its parameters can be influenced by small percentages of ?outliers?; hence, it is of outmost importance to find robust estimators for these parameters. One of the best-known classes of robust techniques is that of M-estimators, which are an extension of the maximum likelihood estimation method. In this work we derive the M-estimators for the parameters of the G0A distribution, and compare them with maximum likelihood estimators with a Monte-Carlo experience. It is checked that this robust technique is superior to the classical approach under the presence of corner reflectors, a common source of contamination in SAR images. Numerical issues are addressed, and a practical example is provided.