Improved noise parametr estimation and filtering of MM-band SLAR images

MSMW'07 Symposium Proceedings - The 6th International Kharkov Symposium on Physics and Engineering of Microwaves, Millimeter and Submillimeter Waves and Workshop on Terahertz Technologies

Volumn 1, Issue , 2007, Pages 439-441

  Lukin, Vladimir V ^a   Ponomarenko, Nikolay N ^a   Abramov, Sergey K ^a   Vozel, Benoit ^b   Chehdi, Kacem ^b  

^a NATIONAL AEROSPACE UNIVERSITY   (Ukraine)

^b UNIVERSITÉ DE RENNES 1   (France)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 38149041921     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/MSMW.2007.4294689     Document Type: Conference Paper

References (12)

1. Egiazarian K.O., Melnik V.P., Lukin V.V., Astola J.T. Local Transform-based Denoising for Radar Image Processing, Proceedings of IS&T/SPIE International Conference on Nonlinear Image Processing and Pattern Analysis XII, San Jose, CA, USA, SPIE Vol. 4304, pp. 170-178, Jan. 2001.
2. C. Olivier, S. Quegan, Understanding synthetic aperture radar images, SciTech Publishing, Inc., 2004.
3. Jia Xiuping, J.A. Richards, W. Gessner, D.E. Ricken, Remote Sensing Digital Image Analysis. An Introduction, 3-rd edition, Springer-Verlag, Berlin, 1999.
4. Kulemin G.P., Kurekin A.A., Lukin V.V., Zelensky A.A., Engman E.T., Radar dual polarization remote sensing of soil erosion, Proceedings of European Symp. "Aerospace Remote Sensing", SPIE Vol. 3222, Sept 1997, London, UK, pp. 149-160.
5. Kulemin G.P., Lukin V.V., Zelensky A.A., Kurekin A.A., Engman E.T., Soil Erosion State Interpretation with Use of Multichannel Radar Image Pre- and Postprocessing, Proceedings of SPIE/EUROPTO Series, Remote Sensing for Agriculture, Ecosystems, and Hydrology, Vol. 3499, Barcelona, Spain, Sept. 1998, pp. 134-144.
6. J. Portilla, V. Strela, M. Wainwright, E. P. Simoncelli, Image Denoising Using Gaussian Scale Mixtures in the Wavelet Domain, IEEE Trans on Image Processing, vol. 12, no. 11, pp. 1338-1351, 2003.
7. Tsymbal O.V., Lukin V.V., Ponomarenko N.N., Zelensky A.A., Egiazarian K.O., Astola J.T., Three-state Locally Adaptive Texture Preserving Filter for Radar and Optical Image Processing, EURASIP Journal on Applied Signal Processing, May 2005, No 8, pp. 1185-1204.
8. Abramov S.K., Lukin V.V., Ponomarenko N.N., Egiazarian K.O., Pogrebnyak O.B., Influence of multiplicative noise variance evaluation accuracy on MM-band SLAR image filtering efficiency, Proceedings of the Fifth International Kharkov Symposium "Physics and Engineering of Millimeter and Sub-Millimeter Waves", Kharkov, Ukraine, June 2004, Vol.1, pp. 250-252.
9. V. Lukin, N. Ponomarenko, M. Zriakhov, A. Zelensky, K. Egiazarian, J. Astola, Quasi-optimal compression of noisy optical and radar images, Proc. of Int. Conf. Image and Signal Processing for Remote Sensing XII, Stockholm, Sweden, SPIE Vol. 6365, 12 p.
10. M.-P. Carton-Vandecandelaere, B. Vozel, L. Klaine, K. Chehdi, "Application to Multispectral Images of a Blind Identification System for Blur, Additive, Multiplicative and Impulse Noises", Proceedings of EUSIPCO, Toulouse (France), III, pp. 283-286, 2002.
11. B. Vozel, K. Chehdi, L. Klaine, V.V. Lukin, S.K. Abramov, Noise identification and estimation of its statistical parameters by using unsupervized variational classification, Proceedings of ICASSP, 2006, Toulouse, France, vol II, pp 841-844.
12. R. Öktem, Transform Domain Algorithms for Image Compression and Denoising, Thesis for the degree of Doctor of Technology, Tampere University of Technology (Tampere, Finland), 142 p., 2000.