Oscar H. Bustos

Learn More
Data from a coherent illumination system like a Synthetic Aperture Radar (SAR) can be modelled by the multiplicative model. This model explains the characteristics of these data. The multiplicative model states that, under certain conditions, the constructive and destructive interferences of the incident and reflected signals give a return that varies, in a(More)
Among the frameworks for Synthetic Aperture Radar (SAR) image modelling and analysis, the multiplicative model is very accurate and successful. It is based on the assumption that the observed random field is the result of the product of two independent and unobserved random fields: X and Y. The random field X models the terrain backscatter and, thus,(More)
— This paper presents two new MAP (Maximum a Posteriori) filters for speckle noise reduction and a Monte Carlo procedure for the assessment of their performance. In order to quantitatively evaluate the results obtained using these new filters, with respect to classical ones, a Monte Carlo extension of Lee's protocol is proposed. This extension of the(More)
The GA0 distribution is assumed as the universal model for multilook amplitude SAR imagery data under the Multiplicative Model. 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(More)
RESUMEN En este trabajo se considera el problema de estimar la rugosidad de blancos sensados con radar de apertura sintética – SAR, bajo la hipótesis del Modelo Multiplicativo para datos en formato de amplitud, una o múltiples vistas y muestras de tamaño moderado. Se supone que los datos obedecen una distribución muy flexible, recientemente propuesta para(More)
This paper presents a general result for the simulation of correlated heterogeneous targets, which are present in images corrupted by speckle noise. This technique is based on the use of a correlation mask and Gaussian random variables , in order to obtain spatially dependent Gamma deviates. These Gamma random variables, in turn, allow the obtainment of(More)
The G 0 A distribution is assumed as the universal model for multilook amplitude SAR imagery data under the multiplicative model. 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(More)
This work presents the results of assessing the accuracy of statistical routines as implemented in the IDL platform, versions 5.6 and 6.0 for Windows XP and Linux. This is " a complete computing environment for the interactive analysis and visu-alization of data. IDL integrates a powerful, array-oriented language with numerous mathematical analysis and(More)