λ-WMAP: a statistical speckle filter operating in the wavelet domain

References

• Barndorff-Nielsen O. E 1995 Normal inverse Gaussian processes and the modeling of stock returns Research report No. 300, Department of Theoretical Statistics, Institute of Mathematics, University of Aarhus, Denmark
   Google Scholar
• Barndorff-Nielsen , O. E . 1997 . Normal inverse Gaussian distributions and stochastic volatility modelling . Scandinavian Journal of Statistics , 24 : 1 – 13 .
   Web of Science ®Google Scholar
• Bijaoui A Bobichon Y Fang Y Rue F 1997 Méthodes multiéchelles appliquées à l'analyse des images radar à ouverture synthétique Traitement du Signal, 14, 179–193
   Google Scholar
• Dong , Y , Forster , B. C , Milne , A. K and Morgan , G. A . 1998 . Speckle suppression using recursive wavelet transforms . International Journal of Remote Sensing , 19 : 317 – 330 .
   Web of Science ®Google Scholar
• Donoho , D. L . 1995 . De-noising by soft-thresholding . IEEE Transactions on Information Theory , 41 : 613 – 627 .
   Web of Science ®Google Scholar
• Eltoft , T and HØgda , K. A . 1998 . Non-Gaussian signal statistics in ocean SAR imagery . IEEE Transactions on Geoscience and Remote Sensing , 36 : 562 – 575 .
   Web of Science ®Google Scholar
• Foucher , S , Bénié , G and Boucher , J.-M . 2001 . Multiscale MAP filtering of SAR images . IEEE Transactions on Image Processing , 10 : 49 – 60 .
   PubMed Web of Science ®Google Scholar
• Fukuda , S and Hirosawa , H . 1998 . Suppression of speckle in synthetic aperture radar images using wavelet . International Journal of Remote Sensing , 19 : 507 – 519 .
   Web of Science ®Google Scholar
• Gagnon L 1999 Wavelet filtering of speckle noise—some numerical results Technical report, Centre de Recherche Informatique Montreal, 550 Sherbroke Ouest, Montreal, QC, Canada
   Google Scholar
• Gagnon L Jouan A 1997 Speckle filtering of SAR images—a comparative study between complex-wavelet-based and standard filters In SPIE Proceedings on Wavelet Applications in Signal and Image Processing V, (San Diego, CA: SPIE), pp. 80–91
   Google Scholar
• Goodman , J. W . 1976 . Some fundamental properties of speckle . Journal of the Optical Society of America , 66 : 1145 – 1150 .
   Web of Science ®Google Scholar
• Guo H Odegard J. E Lang M Gopinath R. A Selesnick I. W Burrus C. S 1994 Wavelet based speckle reduction with application to SAR based ATD/R IEEE Proceedings of the International Conference on Image Processing, vol. 1, (Austin, TX: IEEE Computer Society), pp. 75–79
   Google Scholar
• Hanssen A Øigård T. A 2001 The normal inverse gaussian distribution as a flexible model for heavy tailed processes Proceedings IEEE–EURASIP Workshop on Nonlinear Signal and Image Processing
   Google Scholar
• Hervet E FjØrtoft R Marthon P Lopès A 1998 Comparison of wavelet-based and statistical speckle filters Proceedings on SAR Image Analysis, Modelling and Techniques III, Barcelona, Spain (SPIE), pp. 43–54
   Google Scholar
• Iskander , D. R , Abdelhak , A. M , Zoubir , M and Boashash , B . 1999 . A method for estimating the parameters of the K distribution . IEEE Transactions on Signal Processing , 47 : 1147 – 1151 .
   Web of Science ®Google Scholar
• Jenssen R Øigård T. A Eltoft T Hanssen A 2001 Sparse code shrinkage based on the normal inverse Gaussian density model 3rd International Conference on Independent Component Analysis and Signal Separation (San Diego, CA), pp. 212–217
   Google Scholar
• Joughin , I. R , Percival , D. B and Winebrenner , D. P . 1993 . Maximum likelihood estimation of K distribution parameters for SAR data . IEEE Transactions on Geoscience and Remote Sensing , 31 : 989 – 999 .
   Web of Science ®Google Scholar
• Kuan , D. T , Sawchuck , A. A , Strand , T. C and Chavel , P . 1985 . Adaptive noise smoothing filter for images with signal dependent noise . IEEE Transactions on Pattern Analysis and Machine Intelligence , 7 : 165 – 177 .
   PubMed Web of Science ®Google Scholar
• Lee , J . 1981 . Refined filtering of image noise using local statistics . Computer Graphics Image Processing , 15 : 255 – 269 .
   Google Scholar
• Lee , J . 1986 . Speckle suppression and analysis for synthetic aperture radar images . Optical Engineering , 25 : 636 – 643 .
   Web of Science ®Google Scholar
• Lopès , A , Nezry , E , Touzi , R and Laur , H . 1993 . Structure detection and statistical adaptive speckle filtering in SAR images . International Journal of Remote Sensing , 14 : 1735 – 1758 .
   Web of Science ®Google Scholar
• Michael , J. R . 1983 . The stabilized probability plot . Biometrica , 70 : 11 – 17 .
   Web of Science ®Google Scholar
• Nason G. P Silverman B. W 1995 The stationary wavelet transform and some statistical applications, Technical Report, University of Bristol, Brstol, UK
   Google Scholar
• Odegard J. E Guo H Lang M Burrus C. S Wells R. O., Jr Novak L. M Hiett M 1995 Wavelet based SAR speckle reduction and image compression SPIE Proceedings on Algorithms for Synthetic Aperture Radar Imagery II, Orlando (SPIE), vol. 2487, pp. 259–271
   Google Scholar
• Oliver , C. J . 1991 . Information from SAR images . Journal of Physics D: Applied Physics , 24 : 1493 – 1514 .
   Web of Science ®Google Scholar
• Oliver C Quegan S 1998 Understanding Synthetic Aperture Radar Images (Boston: Artech House)
   Google Scholar
• Roberts , W. J. J and Furui , S . 2000 . Maximum likelihood estimation of K-distribution parameters via the expectation–maximization algorithm . IEEE Transactions on Signal Processing , 48 : 3303 – 3306 .
   Web of Science ®Google Scholar
• Strang G Nguyen T 1996 Wavelets and Filterbanks (Wellesey, MA: Cambridge Press)
   Google Scholar
• Vetterli M Kovacevic J 1995 Wavelets and Subband Coding (Englewood Cliffs, NJ: Prentice Hall)
   Google Scholar
• Wachowiak , M. P , Smolíková , R , Zurada , J. M and Elmaghraby , A. S . 2002 . Estimation of K distribution parameters using newal networks . IEEE Transactions on Biomedical Engineering , 49 : 617 – 620 .
   PubMed Web of Science ®Google Scholar
• Yu R Allen A. R Watson J 1996 An optimal Wavelet thresholding method for speckle noise reduction Summer School on Wavelets, Silesian Technical University, Zakopane, Poland, pp. 77–81
   Google Scholar