Speckle reduction of SAR images in the curvelet domain

M.O. Ulfarsson1, J.R. Sveinsson1, J.A. Benediktsson1
1Department of Electrical and Computer Engineering, University of Iceland, Reykjavik, Iceland

Tóm tắt

Curvelet transform (CT), proposed by E. Candes et al. (1999), is used for speckle reduction of SAR images. The CT is useful for speckle reduction through its subband images and the speckle reduction is obtained by thresholding the subband-image coefficients of the digitized SAR images. Two thresholding methods are used; hard thresholding and soft thresholding. The denoising method shows great promise for speckle removal and hence provides good detection performance for SAR based recognition.

Từ khóa

#Speckle #Noise reduction #Wavelet transforms #Discrete wavelet transforms #Continuous wavelet transforms #Computed tomography #Additive noise #Wavelet coefficients #Wavelet domain #Chaos

Tài liệu tham khảo

donoho, 1999, Digital curvelet transform: Strategy, implementation and experiments, Tech Rep 10.1109/18.382009 averbuch, 0, Fast Slant Stack: A notion of Radon Transform for Data in a Cartesion Grid which is Rapidly Computible, Algebraically Exact, Geometrically Faithful and Invertible, SIAM Journal of Sientific Computating 10.1109/TPAMI.1980.4766994 candes, 1999, Curvelets: a surprisingly effective nonadaptive representation for object with edges, Proceeding of Curves and Surfaces, 105