Intensity and phase statistics of multi-look polarimetric SAR imagery

Lee, J.S.; Hoppel, K. W.; Mango, S.; Miller, Allen R.

doi:10.1109/igarss.1993.322213

Cited by 37 publications

(33 citation statements)

References 4 publications

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“…However, as the range resolution of radar systems improved, the clutter appeared less homogeneous. New descriptions of clutter and targets-in-clutter were found as models [23,24]. The K-PDF stands as a good model for nonhomogeneous scenes.…”

Section: Non-parametric Methodsmentioning

confidence: 99%

“…For example, backscattering from meadows, trees, waves on water surfaces, are all random variables well-modelled by the K law. The non-homogeneity is introduced by modelling the PDF of the random variableX as the product of a Gamma distribution, characterizing the spatial variability of intensity g, and a Gaussian distribution representing the speckle,Ỹ [2,23,24,29,40,41]…”

Section: Non-parametric Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Polarimetric Detection of Slowly Moving Targets Embedded in Stationary Ground Clutter

Morin¹,

Pottier²,

Saillard³

et al. 1997

PIER

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Section: Non-parametric Methodsmentioning

confidence: 99%

Section: Non-parametric Methodsmentioning

confidence: 99%

Polarimetric Detection of Slowly Moving Targets Embedded in Stationary Ground Clutter

Morin¹,

Pottier²,

Saillard³

et al. 1997

PIER

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“…But the SAR data are affected by speckle noise. Therefore the speckle suppression has been an important area of research in SAR image processing [2][3][4][5]. It is important to determine how speckle noise affects the retrieval of physical information from multidimensional SAR data.…”

Section: Introductionmentioning

confidence: 99%

Statistical assessment of H/A target decomposition theorems in radar polarimetry

Liu

Huang

Wang

et al. 2010

Sci. China Inf. Sci.

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Target decomposition (TD) theorems have been widely applied in radar polarimetry, serving as the bridge between radar measurements and the physical parameters of a scatterer. The H/A target decomposition is one of the most suitable tools for performing data interpretation in the study and characterization of natural scatters. In this paper, the statistics of the parameters of eigenvalue, eigenvector and H/A have been analyzed via a novel method, and the probability density functions (PDF) have been obtained. It is pointed out that all these parameters can be seen as asymptotically nonbiased with respect to the number of looks. In order to reduce the biases for a small number of looks, a novel estimator for the parameters has been proposed. We give the basic theorems for accurate estimation of parameters.

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“…Their probability density is given by (see [16] and also [17] . By inspection (4.6) is not the same as the von Mises density (4.3).…”

Section: A Optimality Of the Circular Variancementioning

confidence: 99%

Blind separation of signal and multipath interference for synthetic aperture sonar

Kirsteins

2003

Oceans 2003. Celebrating the Past ... Teaming Toward the Future (IEEE Cat. No.03CH37492)

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Intensity and phase statistics of multi-look polarimetric SAR imagery

Cited by 37 publications

References 4 publications

Polarimetric Detection of Slowly Moving Targets Embedded in Stationary Ground Clutter

Polarimetric Detection of Slowly Moving Targets Embedded in Stationary Ground Clutter

Statistical assessment of H/A target decomposition theorems in radar polarimetry

Blind separation of signal and multipath interference for synthetic aperture sonar

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