Nonparametric tests for edge detection in noise
Pattern Recognition
Improved estimation of clutter properties in speckled imagery
Computational Statistics & Data Analysis
M-estimators of roughness and scale for GA0-modelled SAR imagery
EURASIP Journal on Applied Signal Processing
Analysis of minute features in speckled imagery with maximum likelihood estimation
EURASIP Journal on Applied Signal Processing
Accuracy of edge detection methods with local information in speckled imagery
Statistics and Computing
Robust edge detection in noisy images
Computational Statistics & Data Analysis
Remote Sensing with Imaging Radar
Remote Sensing with Imaging Radar
Dealing with monotone likelihood in a model for speckled data
Computational Statistics & Data Analysis
Modern Applied Statistics with S
Modern Applied Statistics with S
B-spline snakes: a flexible tool for parametric contour detection
IEEE Transactions on Image Processing
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We address the issue of edge detection in Synthetic Aperture Radar imagery. In particular, we propose nonparametric methods for edge detection, and numerically compare them to an alternative method that has been recently proposed in the literature. Our results show that some of the proposed methods display superior results and are computationally simpler than the existing method. An application to real (not simulated) data is presented and discussed.