Despeckling of terraSAR-X data using second-generation wavelets

IEEE Geoscience and Remote Sensing Letters

Volumn 7, Issue 1, 2010, Pages 68-72

  Gleich, Dušan ^a   Kseneman, Matej ^a   Datcu, Mihai ^b  

^a UNIVERSITY OF MARIBOR   (Slovenia)

^b GERMAN AEROSPACE CENTER DLR   (Germany)

Author keywords

Bayesian inference; Speckle reduction; Synthetic aperture radar (SAR); Wavelet transform

Indexed keywords

BAYESIAN NETWORKS; INFERENCE ENGINES; RADAR IMAGING; SPECKLE; WAVELET TRANSFORMS;

BAYESIAN INFERENCE; CONTOURLET DOMAINS; MODEL BASED APPROACH; OBJECTIVE MEASUREMENT; SECOND GENERATION WAVELET; SPECKLE REDUCTION; SYNTHETIC APERTURE RADAR (SAR) IMAGES; SYNTHETIC DATA;

SYNTHETIC APERTURE RADAR;

EID: 75449097825     PISSN: 1545598X     EISSN: None     Source Type: Journal    
DOI: 10.1109/LGRS.2009.2020610     Document Type: Article

References (15)

1. J. S. Lee, "Digital image enhancement and noise filtering by use of local statistics," IEEE Trans. Pattern Anal. Mach. Intell., vol.PAMI-2, no.2, pp. 165-168, Mar. 1980.
2. 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., vol.PAMI-7, no.2, pp. 165-177, Mar. 1985.
3. V. S. Frost, J. A. Stiles, K. S. Shanmugan, and J. C. Holtzman, "A model for radar images and its application to adaptive digital filtering of multiplicative noise," IEEE Trans. Pattern Anal. Mach. Intell., vol.PAMI-4, no.2, pp. 157-166, Mar. 1982.
4. M. Walessa and M. Datcu, "Model-based despeckling and information extraction form SAR images," IEEE Trans. Geosci. Remote Sens., vol.38, no.5, pp. 2258-2269, Sep. 2000.
5. F. Argenti and L. Alparone, "Speckle removal from SAR images in the undecimated wavelet domain," IEEE Geosci. Remote Sens., vol.40, no.11, pp. 2363-2374, Nov. 2002.
6. D. S. Sivia, Data Analysis: A Bayesian Tutorial. Oxford, U.K.: Clarendon, 1996.
7. S. Foucher, G. B. Benie, and J.-M. Boucher, "Multiscale MAP filtering of SAR images," IEEE Trans. Image Process., vol.10, no.1, pp. 49-60, Jan. 2001.
8. I. Daubechies, Ten Lectures on Wavelets. Philadelphia, PA: Soc. Ind. Appl. Math., 1992.
9. D. Gleich and M. Datcu, "Gauss-Markov model for SAR image despeckling," IEEE Signal Process. Lett., vol.13, no.6, pp. 365-368, Jun. 2006.
10. A. L. da Chuna, J. Zhou, and M. N. Do, "The nonsubsampled contourlet transform: Theory, design, and application," IEEE Trans. Image Process., vol.15, no.10, pp. 3089-3101, Oct. 2006.
11. Y.-Q. Li, M.-Y. He, and X.-F. Fang, "A new adaptive algorithm for despeckling of SAR images based on contourlet transform," in 8th IEEE Conf. Signal Process., Beijing, China, vol.4, 2006.
12. E. Le Pennec and S. Mallat, "Sparse geometric image representations with bandelets," IEEE Trans. Image Process., vol.14, no.4, pp. 423-438, Apr. 2005.
13. J. R. Sveinsson and J. A. Benediktsson, "Speckle reduction of SAR images in the bandelet domain," in IEEE Int. Conf. Geosci. Remote Sens., Jul. 2007, vol.3, pp. 1158-1161.
14. A. Lopez, E. Nerzy, R. Touzi, and H. Laur, "Structure detection and statistical adaptive speckle filtering in SAR images," Int. J. Remote Sens., vol.14, no.9, pp. 1735-1758, Jun. 1993.
15. D. Gleich and M. Datcu, "Wavelet based despeckling of SAR images using Gauss-Markov random fields," IEEE Trans. Geosci. Remote Sens., vol.45, no.12, pp. 4127-4143, Dec. 2007.