M. Tawarmalani and N. V. Sahinidis, "A polyhedral branch-and-cut approach to global optimization," Math. Program. 103, 225-249 (2005).

[CrossRef]

S. Gupta, R. C. Chauhan, and S. C. Sexana, "Wavelet-based statistical approach for speckle reduction in medical ultrasound images," Med. Biol. Eng. Comput. 42, 189-192 (2004).

[CrossRef]
[PubMed]

J. R. Sveinsson and J. A. Benediktsson, "Almost translation invariant wavelet transformations for speckle reduction of SAR images," IEEE Trans. Geosci. Remote Sens. 41, 2404-2408 (2003).

[CrossRef]

A. Achim, P. Tsakalides, and A. Bezerianos, "SAR image denoising via Bayesian wavelet shrinkage based on heavy tailed modeling," IEEE Trans. Geosci. Remote Sens. 41, 1773-1784 (2003).

[CrossRef]

F. Argenti and L. Alparone, "Speckle removal from SAR images in the undecimated wavelet domain," IEEE Trans. Geosci. Remote Sens. 40, 2363-2374 (2002).

[CrossRef]

H. Xie, L. Pierce, and F. Ulaby, "SAR speckle reduction using wavelet denoising and Markov random field modeling," IEEE Trans. Geosci. Remote Sens. 40, 2196-2212 (2002).

[CrossRef]

R. Touzi, "A review of speckle filtering in the context of estimation theory," IEEE Trans. Geosci. Remote Sens. 40, 2392-2404 (2002).

[CrossRef]

F. Sattar, L. Floreby, G. Salomonsson, and B. Lovstrom, "Image enhancement based on a nonlinear multiscale method," IEEE Trans. Image Process. 6, 888-895 (1997).

[CrossRef]
[PubMed]

A. Lopes, R. Touzi, and E. Nezry, "Adaptive speckle filters and scene heterogeneity," IEEE Trans. Geosci. Remote Sens. 28, 992-1000 (1990).

[CrossRef]

S. Quegan, "Interpolation and sampling in SAR images," IEEE Trans. Geosci. Remote Sens. 28, 641-646 (1990).

[CrossRef]

F. Ulaby, F. Kouyate, B. Brisco, and T. Williams, "Texture information in SAR images," IEEE Trans. Geosci. Remote Sens. 24, 235-245 (1986).

[CrossRef]

V. Frost, J. Stiles, K. Shanmugan, and J. Holtzman, "A model for radar images and its application to adaptive digital filtering of multiplicative noise," IEEE Trans. Pattern Anal. Mach. Intell. PAMI-4, 157-165 (1982).

[CrossRef]

R. Keys, "Cubic convolution interpolation for digital image processing," IEEE Trans. Acoust. Speech Signal Process. ASSP-29, 1153-1160 (1981).

[CrossRef]

J. Lee, "Speckle analysis and smoothing of synthetic aperture radar images," Comput. Graph. Image Process. 17, 24-32 (1981).

[CrossRef]

J. Besag, "Spatial interaction and the statistical analysis of lattice systems," J. R. Stat. Soc. Ser. B. Methodol. 6, 192-236 (1974).

N. Metropolis, A. Rosenbluth, M. Rosenbluth, A. Teller, and E. Teller, "Equations of state calculations by fast computing machines," J. Chem. Phys. 21, 1087-1092 (1953).

[CrossRef]

A. Achim, P. Tsakalides, and A. Bezerianos, "SAR image denoising via Bayesian wavelet shrinkage based on heavy tailed modeling," IEEE Trans. Geosci. Remote Sens. 41, 1773-1784 (2003).

[CrossRef]

A. Achim, A. Bezerianos, and P. Tsakalides, "Wavelet-based ultrasound image denoising using an alpha-stable prior probability model," in Proceedings of the IEEE International Conference on Image Processing (IEEE, 2001), Vol. 2, pp. 221-224.

F. Argenti and L. Alparone, "Speckle removal from SAR images in the undecimated wavelet domain," IEEE Trans. Geosci. Remote Sens. 40, 2363-2374 (2002).

[CrossRef]

F. Argenti and L. Alparone, "Speckle removal from SAR images in the undecimated wavelet domain," IEEE Trans. Geosci. Remote Sens. 40, 2363-2374 (2002).

[CrossRef]

J. R. Sveinsson and J. A. Benediktsson, "Almost translation invariant wavelet transformations for speckle reduction of SAR images," IEEE Trans. Geosci. Remote Sens. 41, 2404-2408 (2003).

[CrossRef]

J. Besag, "Spatial interaction and the statistical analysis of lattice systems," J. R. Stat. Soc. Ser. B. Methodol. 6, 192-236 (1974).

A. Achim, P. Tsakalides, and A. Bezerianos, "SAR image denoising via Bayesian wavelet shrinkage based on heavy tailed modeling," IEEE Trans. Geosci. Remote Sens. 41, 1773-1784 (2003).

[CrossRef]

A. Achim, A. Bezerianos, and P. Tsakalides, "Wavelet-based ultrasound image denoising using an alpha-stable prior probability model," in Proceedings of the IEEE International Conference on Image Processing (IEEE, 2001), Vol. 2, pp. 221-224.

F. Ulaby, F. Kouyate, B. Brisco, and T. Williams, "Texture information in SAR images," IEEE Trans. Geosci. Remote Sens. 24, 235-245 (1986).

[CrossRef]

S. Gupta, R. C. Chauhan, and S. C. Sexana, "Wavelet-based statistical approach for speckle reduction in medical ultrasound images," Med. Biol. Eng. Comput. 42, 189-192 (2004).

[CrossRef]
[PubMed]

D. T. Kuan, A. A. Sawchuk, T. C. Strand, and P. Chavel, "Adaptive noise smoothing filter for images with signal-dependent noise," IEEE Trans. Pattern Anal. Mach. Intell. TPAMI-7, 165-177 (1985).

[CrossRef]

Y. S. Chow and H. Teicher, Probability Theory (Springer-Verlag, 1997).

[CrossRef]

B. Scheuchl, D. Flett, G. Staples, G. Davidson, and I. Cumming, "Preliminary classification results of simulated RADARSAT-2 polarimetric sea ice data," presented at the Workshop on Applications of SAR Polarimetry and Polarimetric Interferometry, ESA/ESRIN, Frascati, Italy (January 14-16, 2003).

J. Dainty, Topics in Applied Physics: Laser Speckle and Related Phenomena (Springer-Verlag, 1984).

B. Scheuchl, D. Flett, G. Staples, G. Davidson, and I. Cumming, "Preliminary classification results of simulated RADARSAT-2 polarimetric sea ice data," presented at the Workshop on Applications of SAR Polarimetry and Polarimetric Interferometry, ESA/ESRIN, Frascati, Italy (January 14-16, 2003).

A. Doerry and F. Dickey, "Synthetic aperture radar," Opt. Photon. News, November 2004, pp. 28-33.

A. Doerry and F. Dickey, "Synthetic aperture radar," Opt. Photon. News, November 2004, pp. 28-33.

S. Tsunoda, F. Pace, J. Stence, M. Woodring, W. H. Hensley, A. Doerry, and B. Walker, "Lynx: a high-resolution synthetic aperture radar," in Radar Sensor Technology IV, R.Trebits and J.L.Kurtz, eds., Proc. SPIE 3704, 20-27 (1999).

B. Scheuchl, D. Flett, G. Staples, G. Davidson, and I. Cumming, "Preliminary classification results of simulated RADARSAT-2 polarimetric sea ice data," presented at the Workshop on Applications of SAR Polarimetry and Polarimetric Interferometry, ESA/ESRIN, Frascati, Italy (January 14-16, 2003).

F. Sattar, L. Floreby, G. Salomonsson, and B. Lovstrom, "Image enhancement based on a nonlinear multiscale method," IEEE Trans. Image Process. 6, 888-895 (1997).

[CrossRef]
[PubMed]

G. Franceschetti and R. Lanari, Synthetic Aperture Radar Processing (CRC Press, 1999).

V. Frost, J. Stiles, K. Shanmugan, and J. Holtzman, "A model for radar images and its application to adaptive digital filtering of multiplicative noise," IEEE Trans. Pattern Anal. Mach. Intell. PAMI-4, 157-165 (1982).

[CrossRef]

F. T. Ulaby, R. K. Moore, and A. K. Fung, Radar Remote Sensing and Surface Scattering and Emission Theory, Vol. 2 of Microwave Remote Sensing: Active and Passive (Addison-Wesley, 1982).

L. Gagnon and A. Jouan, "Speckle filtering of SAR images—a comparative study between complex-wavelet-based and standard filters," in Wavelet Applications in Signal and Image Processing V, A.Aldroubi, A.F.Laine, and M.A.Unser, eds., Proc. SPIE 3169, 80-91 (1997).

J. Goodman, Statistical Optics (Wiley-Interscience, 1985).

S. Gupta, R. C. Chauhan, and S. C. Sexana, "Wavelet-based statistical approach for speckle reduction in medical ultrasound images," Med. Biol. Eng. Comput. 42, 189-192 (2004).

[CrossRef]
[PubMed]

O. Lankoande, M. M. Hayat, and B. Santhanam, "Segmentation of SAR images based on Markov random field model," in Proceedings of the IEEE International Conference on Systems, Man and Cybernetics (IEEE, 2005), pp. 2956-2961.

[CrossRef]

O. Lankoande, M. M. Hayat, and B. Santhanam, "Speckle reduction of SAR images using a physically based Markov random field model and simulated annealing," in Algorithms for Synthetic Aperture Radar Imagery XII, F.G.Zelnio and F.D.Garber, eds., Proc. SPIE 5808, 210-221 (2005).

O. Lankoande, M. M. Hayat, and B. Santhanam, "Speckle modeling and reduction in synthetic aperture radar imagery," in Proceedings of the IEEE International Conference on Image Processing (IEEE, 2005), Vol. 3, pp. 317-320.

S. Tsunoda, F. Pace, J. Stence, M. Woodring, W. H. Hensley, A. Doerry, and B. Walker, "Lynx: a high-resolution synthetic aperture radar," in Radar Sensor Technology IV, R.Trebits and J.L.Kurtz, eds., Proc. SPIE 3704, 20-27 (1999).

V. Frost, J. Stiles, K. Shanmugan, and J. Holtzman, "A model for radar images and its application to adaptive digital filtering of multiplicative noise," IEEE Trans. Pattern Anal. Mach. Intell. PAMI-4, 157-165 (1982).

[CrossRef]

L. Gagnon and A. Jouan, "Speckle filtering of SAR images—a comparative study between complex-wavelet-based and standard filters," in Wavelet Applications in Signal and Image Processing V, A.Aldroubi, A.F.Laine, and M.A.Unser, eds., Proc. SPIE 3169, 80-91 (1997).

R. Keys, "Cubic convolution interpolation for digital image processing," IEEE Trans. Acoust. Speech Signal Process. ASSP-29, 1153-1160 (1981).

[CrossRef]

R. Kinderman and J. Snell, Markov Random Fields and Their Applications (American Mathematical Society,1980).

[CrossRef]

F. Ulaby, F. Kouyate, B. Brisco, and T. Williams, "Texture information in SAR images," IEEE Trans. Geosci. Remote Sens. 24, 235-245 (1986).

[CrossRef]

D. T. Kuan, A. A. Sawchuk, T. C. Strand, and P. Chavel, "Adaptive noise smoothing filter for images with signal-dependent noise," IEEE Trans. Pattern Anal. Mach. Intell. TPAMI-7, 165-177 (1985).

[CrossRef]

G. Franceschetti and R. Lanari, Synthetic Aperture Radar Processing (CRC Press, 1999).

O. Lankoande, M. M. Hayat, and B. Santhanam, "Speckle modeling and reduction in synthetic aperture radar imagery," in Proceedings of the IEEE International Conference on Image Processing (IEEE, 2005), Vol. 3, pp. 317-320.

O. Lankoande, M. M. Hayat, and B. Santhanam, "Speckle reduction of SAR images using a physically based Markov random field model and simulated annealing," in Algorithms for Synthetic Aperture Radar Imagery XII, F.G.Zelnio and F.D.Garber, eds., Proc. SPIE 5808, 210-221 (2005).

O. Lankoande, M. M. Hayat, and B. Santhanam, "Segmentation of SAR images based on Markov random field model," in Proceedings of the IEEE International Conference on Systems, Man and Cybernetics (IEEE, 2005), pp. 2956-2961.

[CrossRef]

J. Lee, "Speckle analysis and smoothing of synthetic aperture radar images," Comput. Graph. Image Process. 17, 24-32 (1981).

[CrossRef]

A. Lopes, R. Touzi, and E. Nezry, "Adaptive speckle filters and scene heterogeneity," IEEE Trans. Geosci. Remote Sens. 28, 992-1000 (1990).

[CrossRef]

F. Sattar, L. Floreby, G. Salomonsson, and B. Lovstrom, "Image enhancement based on a nonlinear multiscale method," IEEE Trans. Image Process. 6, 888-895 (1997).

[CrossRef]
[PubMed]

C. Maheshwari, A. Neumaier, and H. Schichl, "Convexity and concavity detection," Tech. Rep., Universitat Wien, A-1010 Vienna, Austria (July 2003), http://www.mat.univie.ac.at/~herman/papers.html.

N. Metropolis, A. Rosenbluth, M. Rosenbluth, A. Teller, and E. Teller, "Equations of state calculations by fast computing machines," J. Chem. Phys. 21, 1087-1092 (1953).

[CrossRef]

F. T. Ulaby, R. K. Moore, and A. K. Fung, Radar Remote Sensing and Surface Scattering and Emission Theory, Vol. 2 of Microwave Remote Sensing: Active and Passive (Addison-Wesley, 1982).

C. Maheshwari, A. Neumaier, and H. Schichl, "Convexity and concavity detection," Tech. Rep., Universitat Wien, A-1010 Vienna, Austria (July 2003), http://www.mat.univie.ac.at/~herman/papers.html.

A. Lopes, R. Touzi, and E. Nezry, "Adaptive speckle filters and scene heterogeneity," IEEE Trans. Geosci. Remote Sens. 28, 992-1000 (1990).

[CrossRef]

C. Oliver and S. Quegan, Understanding Synthetic Aperture Radar Images (SciTech, 2004).

S. Tsunoda, F. Pace, J. Stence, M. Woodring, W. H. Hensley, A. Doerry, and B. Walker, "Lynx: a high-resolution synthetic aperture radar," in Radar Sensor Technology IV, R.Trebits and J.L.Kurtz, eds., Proc. SPIE 3704, 20-27 (1999).

H. Xie, L. Pierce, and F. Ulaby, "SAR speckle reduction using wavelet denoising and Markov random field modeling," IEEE Trans. Geosci. Remote Sens. 40, 2196-2212 (2002).

[CrossRef]

S. Quegan, "Interpolation and sampling in SAR images," IEEE Trans. Geosci. Remote Sens. 28, 641-646 (1990).

[CrossRef]

C. Oliver and S. Quegan, Understanding Synthetic Aperture Radar Images (SciTech, 2004).

N. Metropolis, A. Rosenbluth, M. Rosenbluth, A. Teller, and E. Teller, "Equations of state calculations by fast computing machines," J. Chem. Phys. 21, 1087-1092 (1953).

[CrossRef]

N. Metropolis, A. Rosenbluth, M. Rosenbluth, A. Teller, and E. Teller, "Equations of state calculations by fast computing machines," J. Chem. Phys. 21, 1087-1092 (1953).

[CrossRef]

M. Tawarmalani and N. V. Sahinidis, "A polyhedral branch-and-cut approach to global optimization," Math. Program. 103, 225-249 (2005).

[CrossRef]

F. Sattar, L. Floreby, G. Salomonsson, and B. Lovstrom, "Image enhancement based on a nonlinear multiscale method," IEEE Trans. Image Process. 6, 888-895 (1997).

[CrossRef]
[PubMed]

O. Lankoande, M. M. Hayat, and B. Santhanam, "Speckle modeling and reduction in synthetic aperture radar imagery," in Proceedings of the IEEE International Conference on Image Processing (IEEE, 2005), Vol. 3, pp. 317-320.

O. Lankoande, M. M. Hayat, and B. Santhanam, "Speckle reduction of SAR images using a physically based Markov random field model and simulated annealing," in Algorithms for Synthetic Aperture Radar Imagery XII, F.G.Zelnio and F.D.Garber, eds., Proc. SPIE 5808, 210-221 (2005).

O. Lankoande, M. M. Hayat, and B. Santhanam, "Segmentation of SAR images based on Markov random field model," in Proceedings of the IEEE International Conference on Systems, Man and Cybernetics (IEEE, 2005), pp. 2956-2961.

[CrossRef]

F. Sattar, L. Floreby, G. Salomonsson, and B. Lovstrom, "Image enhancement based on a nonlinear multiscale method," IEEE Trans. Image Process. 6, 888-895 (1997).

[CrossRef]
[PubMed]

D. T. Kuan, A. A. Sawchuk, T. C. Strand, and P. Chavel, "Adaptive noise smoothing filter for images with signal-dependent noise," IEEE Trans. Pattern Anal. Mach. Intell. TPAMI-7, 165-177 (1985).

[CrossRef]

B. Scheuchl, D. Flett, G. Staples, G. Davidson, and I. Cumming, "Preliminary classification results of simulated RADARSAT-2 polarimetric sea ice data," presented at the Workshop on Applications of SAR Polarimetry and Polarimetric Interferometry, ESA/ESRIN, Frascati, Italy (January 14-16, 2003).

C. Maheshwari, A. Neumaier, and H. Schichl, "Convexity and concavity detection," Tech. Rep., Universitat Wien, A-1010 Vienna, Austria (July 2003), http://www.mat.univie.ac.at/~herman/papers.html.

S. Gupta, R. C. Chauhan, and S. C. Sexana, "Wavelet-based statistical approach for speckle reduction in medical ultrasound images," Med. Biol. Eng. Comput. 42, 189-192 (2004).

[CrossRef]
[PubMed]

V. Frost, J. Stiles, K. Shanmugan, and J. Holtzman, "A model for radar images and its application to adaptive digital filtering of multiplicative noise," IEEE Trans. Pattern Anal. Mach. Intell. PAMI-4, 157-165 (1982).

[CrossRef]

R. Kinderman and J. Snell, Markov Random Fields and Their Applications (American Mathematical Society,1980).

[CrossRef]

B. Scheuchl, D. Flett, G. Staples, G. Davidson, and I. Cumming, "Preliminary classification results of simulated RADARSAT-2 polarimetric sea ice data," presented at the Workshop on Applications of SAR Polarimetry and Polarimetric Interferometry, ESA/ESRIN, Frascati, Italy (January 14-16, 2003).

S. Tsunoda, F. Pace, J. Stence, M. Woodring, W. H. Hensley, A. Doerry, and B. Walker, "Lynx: a high-resolution synthetic aperture radar," in Radar Sensor Technology IV, R.Trebits and J.L.Kurtz, eds., Proc. SPIE 3704, 20-27 (1999).

V. Frost, J. Stiles, K. Shanmugan, and J. Holtzman, "A model for radar images and its application to adaptive digital filtering of multiplicative noise," IEEE Trans. Pattern Anal. Mach. Intell. PAMI-4, 157-165 (1982).

[CrossRef]

D. T. Kuan, A. A. Sawchuk, T. C. Strand, and P. Chavel, "Adaptive noise smoothing filter for images with signal-dependent noise," IEEE Trans. Pattern Anal. Mach. Intell. TPAMI-7, 165-177 (1985).

[CrossRef]

J. R. Sveinsson and J. A. Benediktsson, "Almost translation invariant wavelet transformations for speckle reduction of SAR images," IEEE Trans. Geosci. Remote Sens. 41, 2404-2408 (2003).

[CrossRef]

M. Tawarmalani and N. V. Sahinidis, "A polyhedral branch-and-cut approach to global optimization," Math. Program. 103, 225-249 (2005).

[CrossRef]

Y. S. Chow and H. Teicher, Probability Theory (Springer-Verlag, 1997).

[CrossRef]

N. Metropolis, A. Rosenbluth, M. Rosenbluth, A. Teller, and E. Teller, "Equations of state calculations by fast computing machines," J. Chem. Phys. 21, 1087-1092 (1953).

[CrossRef]

N. Metropolis, A. Rosenbluth, M. Rosenbluth, A. Teller, and E. Teller, "Equations of state calculations by fast computing machines," J. Chem. Phys. 21, 1087-1092 (1953).

[CrossRef]

R. Touzi, "A review of speckle filtering in the context of estimation theory," IEEE Trans. Geosci. Remote Sens. 40, 2392-2404 (2002).

[CrossRef]

A. Lopes, R. Touzi, and E. Nezry, "Adaptive speckle filters and scene heterogeneity," IEEE Trans. Geosci. Remote Sens. 28, 992-1000 (1990).

[CrossRef]

A. Achim, P. Tsakalides, and A. Bezerianos, "SAR image denoising via Bayesian wavelet shrinkage based on heavy tailed modeling," IEEE Trans. Geosci. Remote Sens. 41, 1773-1784 (2003).

[CrossRef]

A. Achim, A. Bezerianos, and P. Tsakalides, "Wavelet-based ultrasound image denoising using an alpha-stable prior probability model," in Proceedings of the IEEE International Conference on Image Processing (IEEE, 2001), Vol. 2, pp. 221-224.

S. Tsunoda, F. Pace, J. Stence, M. Woodring, W. H. Hensley, A. Doerry, and B. Walker, "Lynx: a high-resolution synthetic aperture radar," in Radar Sensor Technology IV, R.Trebits and J.L.Kurtz, eds., Proc. SPIE 3704, 20-27 (1999).

H. Xie, L. Pierce, and F. Ulaby, "SAR speckle reduction using wavelet denoising and Markov random field modeling," IEEE Trans. Geosci. Remote Sens. 40, 2196-2212 (2002).

[CrossRef]

F. Ulaby, F. Kouyate, B. Brisco, and T. Williams, "Texture information in SAR images," IEEE Trans. Geosci. Remote Sens. 24, 235-245 (1986).

[CrossRef]

F. T. Ulaby, R. K. Moore, and A. K. Fung, Radar Remote Sensing and Surface Scattering and Emission Theory, Vol. 2 of Microwave Remote Sensing: Active and Passive (Addison-Wesley, 1982).

S. Tsunoda, F. Pace, J. Stence, M. Woodring, W. H. Hensley, A. Doerry, and B. Walker, "Lynx: a high-resolution synthetic aperture radar," in Radar Sensor Technology IV, R.Trebits and J.L.Kurtz, eds., Proc. SPIE 3704, 20-27 (1999).

F. Ulaby, F. Kouyate, B. Brisco, and T. Williams, "Texture information in SAR images," IEEE Trans. Geosci. Remote Sens. 24, 235-245 (1986).

[CrossRef]

S. Tsunoda, F. Pace, J. Stence, M. Woodring, W. H. Hensley, A. Doerry, and B. Walker, "Lynx: a high-resolution synthetic aperture radar," in Radar Sensor Technology IV, R.Trebits and J.L.Kurtz, eds., Proc. SPIE 3704, 20-27 (1999).

H. Xie, L. Pierce, and F. Ulaby, "SAR speckle reduction using wavelet denoising and Markov random field modeling," IEEE Trans. Geosci. Remote Sens. 40, 2196-2212 (2002).

[CrossRef]

J. Lee, "Speckle analysis and smoothing of synthetic aperture radar images," Comput. Graph. Image Process. 17, 24-32 (1981).

[CrossRef]

R. Keys, "Cubic convolution interpolation for digital image processing," IEEE Trans. Acoust. Speech Signal Process. ASSP-29, 1153-1160 (1981).

[CrossRef]

S. Quegan, "Interpolation and sampling in SAR images," IEEE Trans. Geosci. Remote Sens. 28, 641-646 (1990).

[CrossRef]

A. Lopes, R. Touzi, and E. Nezry, "Adaptive speckle filters and scene heterogeneity," IEEE Trans. Geosci. Remote Sens. 28, 992-1000 (1990).

[CrossRef]

F. Ulaby, F. Kouyate, B. Brisco, and T. Williams, "Texture information in SAR images," IEEE Trans. Geosci. Remote Sens. 24, 235-245 (1986).

[CrossRef]

J. R. Sveinsson and J. A. Benediktsson, "Almost translation invariant wavelet transformations for speckle reduction of SAR images," IEEE Trans. Geosci. Remote Sens. 41, 2404-2408 (2003).

[CrossRef]

A. Achim, P. Tsakalides, and A. Bezerianos, "SAR image denoising via Bayesian wavelet shrinkage based on heavy tailed modeling," IEEE Trans. Geosci. Remote Sens. 41, 1773-1784 (2003).

[CrossRef]

F. Argenti and L. Alparone, "Speckle removal from SAR images in the undecimated wavelet domain," IEEE Trans. Geosci. Remote Sens. 40, 2363-2374 (2002).

[CrossRef]

H. Xie, L. Pierce, and F. Ulaby, "SAR speckle reduction using wavelet denoising and Markov random field modeling," IEEE Trans. Geosci. Remote Sens. 40, 2196-2212 (2002).

[CrossRef]

R. Touzi, "A review of speckle filtering in the context of estimation theory," IEEE Trans. Geosci. Remote Sens. 40, 2392-2404 (2002).

[CrossRef]

F. Sattar, L. Floreby, G. Salomonsson, and B. Lovstrom, "Image enhancement based on a nonlinear multiscale method," IEEE Trans. Image Process. 6, 888-895 (1997).

[CrossRef]
[PubMed]

D. T. Kuan, A. A. Sawchuk, T. C. Strand, and P. Chavel, "Adaptive noise smoothing filter for images with signal-dependent noise," IEEE Trans. Pattern Anal. Mach. Intell. TPAMI-7, 165-177 (1985).

[CrossRef]

V. Frost, J. Stiles, K. Shanmugan, and J. Holtzman, "A model for radar images and its application to adaptive digital filtering of multiplicative noise," IEEE Trans. Pattern Anal. Mach. Intell. PAMI-4, 157-165 (1982).

[CrossRef]

N. Metropolis, A. Rosenbluth, M. Rosenbluth, A. Teller, and E. Teller, "Equations of state calculations by fast computing machines," J. Chem. Phys. 21, 1087-1092 (1953).

[CrossRef]

J. Besag, "Spatial interaction and the statistical analysis of lattice systems," J. R. Stat. Soc. Ser. B. Methodol. 6, 192-236 (1974).

M. Tawarmalani and N. V. Sahinidis, "A polyhedral branch-and-cut approach to global optimization," Math. Program. 103, 225-249 (2005).

[CrossRef]

S. Gupta, R. C. Chauhan, and S. C. Sexana, "Wavelet-based statistical approach for speckle reduction in medical ultrasound images," Med. Biol. Eng. Comput. 42, 189-192 (2004).

[CrossRef]
[PubMed]

L. Gagnon and A. Jouan, "Speckle filtering of SAR images—a comparative study between complex-wavelet-based and standard filters," in Wavelet Applications in Signal and Image Processing V, A.Aldroubi, A.F.Laine, and M.A.Unser, eds., Proc. SPIE 3169, 80-91 (1997).

A. Achim, A. Bezerianos, and P. Tsakalides, "Wavelet-based ultrasound image denoising using an alpha-stable prior probability model," in Proceedings of the IEEE International Conference on Image Processing (IEEE, 2001), Vol. 2, pp. 221-224.

R. Kinderman and J. Snell, Markov Random Fields and Their Applications (American Mathematical Society,1980).

[CrossRef]

Carnegie Mellon University, Vision and Autonomous Systems Center's Image Database, "Parks and Roads," (Nov. 2005), http://vasci.ri.cmu.edu//idb/html/stereo/houseof/index.html.

Y. S. Chow and H. Teicher, Probability Theory (Springer-Verlag, 1997).

[CrossRef]

G. Franceschetti and R. Lanari, Synthetic Aperture Radar Processing (CRC Press, 1999).

A. Doerry and F. Dickey, "Synthetic aperture radar," Opt. Photon. News, November 2004, pp. 28-33.

F. T. Ulaby, R. K. Moore, and A. K. Fung, Radar Remote Sensing and Surface Scattering and Emission Theory, Vol. 2 of Microwave Remote Sensing: Active and Passive (Addison-Wesley, 1982).

C. Maheshwari, A. Neumaier, and H. Schichl, "Convexity and concavity detection," Tech. Rep., Universitat Wien, A-1010 Vienna, Austria (July 2003), http://www.mat.univie.ac.at/~herman/papers.html.

Courtesy of Armin Doerry at Sandia National Laboratories, awdoerr@sandia.gov (personal communication, October 25, 2004).

S. Tsunoda, F. Pace, J. Stence, M. Woodring, W. H. Hensley, A. Doerry, and B. Walker, "Lynx: a high-resolution synthetic aperture radar," in Radar Sensor Technology IV, R.Trebits and J.L.Kurtz, eds., Proc. SPIE 3704, 20-27 (1999).

Courtesy of David G. Long, Brigham Young University, Director of the Center for Remote Sensing, 459 Clyde Building, Provo, Utah 84602, http://www.cers.byu.edu/ (personal communication, October 20, 2005).

Australian Government, "JERS SAR processing levels" (November 2005), http://www.ga.gov.au/acres/prodlowbarser/jerslowbarlev.htm.

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[CrossRef]

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