Improved estimation of clutter properties in speckled imagery.

DOI10.1016/S0167-9473(02)00102-0zbMath1103.62307OpenAlexW2081102002MaRDI QIDQ1852892

Michel F. Silva, Alejandro C. Frery, Francisco Cribari-Neto

Publication date: 21 January 2003

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0167-9473(02)00102-0

zbMATH Keywords

Maximum likelihood estimationBootstrapBiasSpeckleSynthetic aperture radar

Mathematics Subject Classification ID

Image analysis in multivariate analysis (62H35)

Related Items

Alternatives to the usual likelihood ratio test in mixed linear models ⋮ Polarimetric SAR image segmentation with B-splines and a new statistical model ⋮ A new similarity measure for nonlocal filtering in the presence of multiplicative noise ⋮ Dealing with monotone likelihood in a model for speckled data ⋮ Inference in a bimodal Birnbaum-Saunders model ⋮ Improving estimation in speckled imagery ⋮ Bootstrap-based improved estimators for the two-parameter Birnbaum–Saunders distribution ⋮ ARMA process for speckled data ⋮ M-estimators with asymmetric influence functions: the distribution case ⋮ Simulation of Spatially Correlated Clutter Fields ⋮ An improved minimum-distance texture estimator for speckled data under the \(\mathscr{G}^0\) model

Uses Software

• Ox
• bootstrap
• bootlib

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Statistical properties of the generalized inverse Gaussian distribution
• Bootstrap methods: another look at the jackknife
• Approximate bias correction in econometrics
• Approximation Theorems of Mathematical Statistics
• Nonparametric standard errors and confidence intervals
• Bias reduction in one-parameter exponential family models
• More Efficient Bootstrap Computations

This page was built for publication: Improved estimation of clutter properties in speckled imagery.