Improving estimation in speckled imagery

DOI10.1007/BF02741311zbMath1091.62140OpenAlexW1989424480MaRDI QIDQ2488421

Luciano B. Silva, Klaus L. P. Vasconcellos, Alejandro C. Frery

Publication date: 24 May 2006

Published in: Computational Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf02741311

zbMATH Keywords

inverse Gaussian distributionGamma distributionspeckle noisecoherent illumination

Mathematics Subject Classification ID

Point estimation (62F10) Image analysis in multivariate analysis (62H35) Applications of statistics in engineering and industry; control charts (62P30)

Related Items (7)

Polarimetric SAR image segmentation with B-splines and a new statistical model ⋮ The use of bias correction versus the jackknife when testing the mean reversion and long term mean parameters in continuous time models ⋮ Dealing with monotone likelihood in a model for speckled data ⋮ Nearly unbiased estimation in a biparametric exponential family ⋮ ARMA process for speckled data ⋮ Simulation of Spatially Correlated Clutter Fields ⋮ An improved minimum-distance texture estimator for speckled data under the \(\mathscr{G}^0\) model

Uses Software

• Ox

Cites Work

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• Statistical properties of the generalized inverse Gaussian distribution
• M-estimators of roughness and scale for \({\mathcal G}_A^0\)-modelled SAR imagery
• Improved estimation of clutter properties in speckled imagery.
• Analysis of minute features in speckled imagery with maximum likelihood estimation
• Bias Correction for a Generalized Log-Gamma Regression Model
• Second-order biases of the maximum likelihood estimates in von Mises regression models
• Bias reduction of maximum likelihood estimates
• Statistical Analysis Based on a Certain Multivariate Complex Gaussian Distribution (An Introduction)

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