Texture analysis of SAR images applied to speckle filtering

Author

Hondt, Olivier D. ; Ferro-Famil, Laurent ; Pottier, Eric

Author_Institution

Lab. of IETR, Rennes I Univ.

fYear

2005

fDate

6-7 Oct. 2005

Firstpage

61

Lastpage

64

Abstract

This paper proposes a new model for the two-point statistics of spatial texture in SAR images. The autocovariance function is locally approximated by a 2-D anisotropic Gaussian kernel (AGK) in order to characterise texture by its local orientation and anisotropy. The estimation of texture parameters at a given scale is based on the gradient structure tensor (GST) operator and does not require the explicit computation of the autocovariance. Finally, a new filter called AGK-MMSE that takes into account this spatial information is introduced and compared to the refined MMSE filter. The proposed filter shows better performances in terms of texture preservation and structure enhancement

Keywords

Gaussian processes; filtering theory; gradient methods; image texture; least mean squares methods; radar imaging; synthetic aperture radar; 2D anisotropic Gaussian kernel; MMSE filter; SAR images; gradient structure tensor; spatial texture; speckle filtering; texture analysis; two-point statistics; Anisotropic magnetoresistance; Image analysis; Image texture analysis; Information filtering; Information filters; Kernel; Parameter estimation; Speckle; Statistics; Tensile stress;

fLanguage

English

Publisher

ieee

Conference_Titel

Radar Conference, 2005. EURAD 2005. European

Conference_Location

Paris

Print_ISBN

2-9600551-3-6

Type

conf

DOI

10.1109/EURAD.2005.1605564

Filename

1605564