24 citations · 85 across the 9 of their papers we have counts for
9 papers
2-D Rayleigh Autoregressive Moving Average Model for SAR Image Modeling
B. G. Palm, F. M. Bayer, R. J. Cintra
Two-dimensional (2-D) autoregressive moving average (ARMA) models are commonly applied to describe real-world image data, usually assuming Gaussian or symmetric noise. However, rea…
Improved Point Estimation for the Rayleigh Regression Model
B. G. Palm, F. M. Bayer, R. J. Cintra
The Rayleigh regression model was recently proposed for modeling amplitude values of synthetic aperture radar (SAR) image pixels. However, inferences from such model are based on t…
Robust Rayleigh Regression Method for SAR Image Processing in Presence of Outliers
B. G. Palm, F. M. Bayer, R. Machado +3
The presence of outliers (anomalous values) in synthetic aperture radar (SAR) data and the misspecification in statistical image models may result in inaccurate inferences. To avoi…
Signal Detection and Inference Based on the Beta Binomial Autoregressive Moving Average Model
B. G. Palm, F. M. Bayer, R. J. Cintra
This paper proposes the beta binomial autoregressive moving average model (BBARMA) for modeling quantized amplitude data and bounded count data. The BBARMA model estimates the cond…
Prediction Intervals in the Beta Autoregressive Moving Average Model
B. G. Palm, F. M. Bayer, R. J. Cintra
In this paper, we propose five prediction intervals for the beta autoregressive moving average model. This model is suitable for modeling and forecasting variables that assume valu…
Wavelength-Resolution SAR Ground Scene Prediction Based on Image Stack
B. G. Palm, D. I. Alves, M. I. Pettersson +6
This paper presents five different statistical methods for ground scene prediction (GSP) in wavelength-resolution synthetic aperture radar (SAR) images. The GSP image can be used a…
Rayleigh Regression Model for Ground Type Detection in SAR Imagery
B. G. Palm, F. M. Bayer, R. J. Cintra +2
This letter proposes a regression model for nonnegative signals. The proposed regression estimates the mean of Rayleigh distributed signals by a structure which includes a set of r…
Autoregressive Model for Multi-Pass SAR Change Detection Based on Image Stacks
B. G. Palm, D. I. Alves, V. T. Vu +6
Change detection is an important synthetic aperture radar (SAR) application, usually used to detect changes on the ground scene measurements in different moments in time. Tradition…
Bootstrap-based inferential improvements in beta autoregressive moving average model
Bruna Gregory Palm, Fábio M. Bayer
We consider the issue of performing accurate small sample inference in beta autoregressive moving average model, which is useful for modeling and forecasting continuous variables t…