Please use this identifier to cite or link to this item: https://scholarhub.balamand.edu.lb/handle/uob/2623
Title: Synthetic aperture radar surface reflectivity estimation using a marked point-process speckle model
Authors: Daba, Jihad S. 
Bell, Mark R
Affiliations: Department of Electrical Engineering 
Issue Date: 2003
Part of: The journal of optical engineering
Volume: 42
Issue: 12
Start page: 478
End page: 481
Abstract: 
This paper presents stochastic models and estimation algorithms for speckled images, with an emphasis on synthetic-aperture-radar images, and where the speckle may not be fully developed. We treat speckle from a novel point of view: as a carrier of useful surface information rather than as contaminating noise. The stochastic models for surface scattering are based on a doubly stochastic marked Poisson point process. For each of these surface-scattering statistical models, we present estimation algorithms to determine the average surface reflectivity and scatterer density within a resolution cell, using intensity measurements of speckled images. We show that the maximum-likelihood estimator is optimal in the sense that the variance of the error is the smallest possible using any conceivable estimate having the same bias with the same data.
URI: https://scholarhub.balamand.edu.lb/handle/uob/2623
Type: Journal Article
Appears in Collections:Department of Electrical Engineering

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