Arseoault H H, April G. Properties of speckle integrated with a finite aperture and logarithmiealy transformed [ J ]. Journal of the Optical Society of America, 1976, 66(11): 1160-1163.
[2]
Kuan D T, Sawchuk A A, Strand T C, et al. Adaptive noise smoothing filter for images with signal-dependent noise [ J ]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1985,7(2) :165 - 177.
[3]
Derin H, Kelly P A, Vezina G, et al. Modeling and segmentation of speckled images using complex data [ J ]. IEEE Transaction on Geoscience and Remote Sensing, 1990, 28( 1 ) :76 -87.
[4]
Rignot E, Chellappa R. Segmentation of synthetic-aperture-radar complex data[J]. Journal of the Optical Society of Americ, 1991,A8(9) :1499 - 1509.
[5]
Hagg W, Sites M. Efficient Speckle filtering of SAR Image [ A ]. In:Proceedings of the International Geoscience and Remote Sensing Symposium( IGARSS \\' 94 ) [ C ], City Hall, Pasadena. California,USA, 1994, 4:2140 - 2142.
[6]
Nezry E, Lopes A, Touzi R. Detection of Structural and Textural Feature for SAR Images Filters [ A ]. In: Proceedings of IEEE International Geoscience And Remote Sensing Symposium [ C ],Espoo, Finland, 1991,4:2169-2172.
[7]
Meer P, Park R H, Cho K. Mnlti-resolution adaptive image smoothing [ J]. Computer Vision and Graphic Image Processing,1994, 56(2) :140 - 148.
[8]
Fosgate C H, Krim H, Irving W W, et al. Multiseale segmentation and anomaly enhancement of SAR imagery[ J]. IEEE Transactions on Image Processing, 1997, 6( 1 ) :7 - 20.
[9]
Sveinsson J R, Benediktsson J A. Speckle reduction in the complex wavelet domain[ A]. In: Proceedings of International Geoscience and Remote Sensing Symposium [ C ], CD Rom, Sydney, Australia,2001:2346 - 2348.
[10]
Malfait M, Roose D. Wavelet based image denoising using a markov random field a prior model [ J ]. IEEE Transactions on Image Processing, 1997, 6(4) :549 - 565.
[11]
Crouse M S, Nowak R D, Baraniuk R C. Wavelet-based signal processing using hidden markov models [ J ]. IEEE Transactions on Signal Processing, 1998, 46(4) :886 -902.
[12]
Achim A, Bezerianos A, Tsakalides P. Novel Bayesian multiscale method for speckle removal in medical ultrasound images [ J ]. IEEE Transactions on Medical Imaging, 2001, 20(8) :772 -783.
[13]
Achim A, Bezerianos A, Tsakalides P. SAR image denoising: a multiscale robust statistical approach [ A ]. In: Proceedings of 14th International Conference on Digital Signal Processing (DSP 2002 )[ C ] , Santorini, Greece, 2002, 2:1235 - 1238.
[14]
Lopes A, Nezry E, Touzi R, et al. Maximum a posteriori filtering and first order texture models in SAR images [ A ] In: Proceedings of IEEE International Gooscience and Remote Sensing Symposium [ C ],Washington, D C, 1990:2409 -2412.
[15]
Baraldi A, Parmiggiani F. A refine Gamma MAP SAR speckle filter with improved geometrical adaptively [ J ]. IEEE Transactions on Geoscience and Remote Sensing, 1995, 33(5) :1245 - 1257.
[16]
Wu Y, Maytre H. Smoothing spockled synthetic aperture radar images by using maximum homogeneous regions filters [ J ]. Optical Engineering, 1992, 31(8) :1785 - 1792.
[17]
Donoho D L, Iohnstone I M. Adapting to unknown smoothness via wavelet shrink[J]. Journal of the American Statistical Association,1995, 90(432) :1200 - 1224.
[18]
Ioannidis A, Kazakos D, Watson D D. Application of median filtering on nuclear medicine scintigram images[ A]. In: Proceedings. of 7th International Conference on Pattern Recognition [ C ], Montreal,Canada, 1984:33 - 36.
[19]
Arseoault H H, April G. Properties of speckle integrated with a finite aperture and logarithmiealy transformed [ J ]. Journal of the Optical Society of America, 1976, 66(11): 1160-1163.
[20]
Frost V S, Stiles J A, Shanmugan K S, et al. A model for radar images and its application to adaptive digital filtering of multiplicative noise[ J ]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1982, 4(2): 157 - 165.
[21]
Hetzheim H. Using Martingale representation to adapt models for nonlinear filtering [ A ]. In: Proceedings of International Conference on Signal Processing [ C ]. Beijing, China, 1993:32 - 35.
[22]
Frieden B R, Bajkova A T. Bayesian cross-entropy reconstruction of complex images [ J ]. Applied Optics, 1994, 33 ( 2 ) :219 - 226.
[23]
Lopes A, Touzi R, Nezry E. Adaptive speckle filters and scene heterogeneity [ J ]. IEEE Transactions on Geoscience and Remote Sensing, 1990, 28(6) :992 - 1000.
[24]
Lopes A, Nezry E, Touzi R, et al. Structure detection and statistical adaptive speckle filtering in SAR images[J]. International Journal of Remote Sensing, 1993, 14(9) :1735 - 1758.
[25]
Fjφrtoft R, Lebon F, Sery F, et al. A region-based approach to the estimation of local statistics in adaptive speckle filters [ A ]. In:Proceedings of the International Geoscience and Remote Sensing Symposium[C], Lincoln, Nebraska, USA, 1996, 1:457-459.
[26]
Ranganath S. Image filtering using multi-resolution representations [ J ]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1991, 13(5) :426 -440.
[27]
Guo H, Odegard J E, Lang M, et al. Speckle Reduction via Wavelet Shrinkage with Application to SAR Based ATD/R [ R ]. Technical Report CML TR94-02, CML, Rice University, Houston, 1994.
[28]
Simoncelli E P, Adelson E H. Noise removal via Bayesian wavelet coring[A]. In: Proceedings 3rd International Conference on Image Processing[ C ] , Lausanne, Switzerland, 1996, 1:379 - 382.
[29]
更多...
[30]
Achim A, Tsakalides P, Bezerianos A. SAR image denoising via Bayesian wavelet shrinkage based on heavy-tailed modeling [ J ].IEEE Transactions on Geoscience and Remote Sensing, 2003,41(8): 1773 - 1784.
[31]
Hua X, Pierce L E, Ulaby F T. SAR speckle reduction using wavelet denoising and Markov random field modeling[ J]. IEEE Transactions on Geoscience and Remote Sensing, 2002, 40(10): 2196 -2212.
[32]
Achim A, Bezerianos A, Tsakalides P. Ultrasound image denoising via maximum a posteriori estimation of wavelet coefficients [ A ].In: Proceedings of 23-rd Annual International Conference of the IEEE-EMBS ( EMBC-2001 ) [ C ], Istanbul, Turkey, 2001, 3:2553 - 2556.
[33]
Achim A, Bezerianos A, Tsakalides P. An alpha-stable based bayesian algorithm for speckle noise removal in the wavelet domain [A]. In: Proceedings of 5th IEEE EURASIP Biennial International Workshop on Nonlin. Signal and Image Processing ( NSIP-01 ) [ C ],Baltimore, Maryland, USA, 2001:1 -4.
[34]
Kuan D T, Sawchuk A A, Strand T C, et al. Adaptive restoration of images with speckle [ J ]. IEEE Transactions on Acoustics, Spoech,and Signal Processing, 1987, 35 (3) :373 - 383.
[35]
Baraldi A, Parmiggiani F. A modified version of the SAR spockle filter based on structure detection [ A ]. In: Proceedings of IEEE International Geoscience And Remote Sensing Symposium, CD-ROM Version[ C ], Pasadena CA, 1994, 4:2168 - 2172.
[36]
Lopes A, Brnniquel J, Sery F, et al. Optimal Bayesian texture estimators for speckle filtering and classifieation of polarimetric data [ A ]. In: Proceedings of IEEE International Geoscience and Remote Sensing Symposium [C], Singapore, 1997:1044 - 1046.
[37]
Boucher J M, Hillion A. Non-linear filtering and edge detection in speckled radar images [ A ]. In: Proceedings of IEEE International Geoscience and Remote Sensing Symposium [ C ], Edinburgh,Scotland, 1988, 3:1267 - 1268.
[38]
Walessa M. Texture preserving despeckling of SAR images using GMRFs[ A]. In: Proceedings of IEEE International C, eoscience and Remote Sensing Symposium [ C ], Hamburg, Germany, 1999, 3:1552 - 1554.
[39]
Oliver C, Quegan S. Understanding Synthetic Aperture Radar Images [M]. Boston: ArtechHouse, 1998.
[40]
Sheng Yong-wei, Xia Zong-gno. A comprehensive evaluation of filters for radar speckle suppression[ A ]. In: International Gooscience and Remote Sensing Symposium [ C ], Lincoln, Nebraska USA , 1996,3:1559 - 1561.