Enhanced dictionary-based SAR amplitude distribution estimation and its validation with very high-resolution data

IEEE Geoscience and Remote Sensing Letters

Volumn 8, Issue 1, 2011, Pages 148-152

  Krylov, Vladimir A ^a   Moser, Gabriele ^b   Serpico, Sebastiano B ^b   Zerubia, Josiane ^c  

^a MOSCOW STATE UNIVERSITY   (Russian Federation)

^b UNIVERSITY OF GENOA   (Italy)

^c UNIVERSITY OF NICE SOPHIA ANTIPOLIS   (France)

Author keywords

Finite mixture models; parametric estimation; probability density function estimation; stochastic expectation maximization (SEM); synthetic aperture radar (SAR) images

Indexed keywords

FINITE MIXTURE MODELS; PARAMETRIC ESTIMATION; PROBABILITY DENSITY FUNCTION ESTIMATION; STOCHASTIC EXPECTATION MAXIMIZATION; SYNTHETIC APERTURE RADAR (SAR) IMAGES;

COMPUTATIONAL COMPLEXITY; IMAGE SEGMENTATION; IMAGING SYSTEMS; MAXIMUM PRINCIPLE; MIXTURES; OPTIMIZATION; PARAMETER ESTIMATION; PROBABILITY; PROBABILITY DENSITY FUNCTION; PROBLEM SOLVING; RADAR; SATELLITE IMAGERY; STOCHASTIC MODELS; STOCHASTIC SYSTEMS; SYNTHETIC APERTURES;

SYNTHETIC APERTURE RADAR;

EID: 78650964359     PISSN: 1545598X     EISSN: None     Source Type: Journal    
DOI: 10.1109/LGRS.2010.2053517     Document Type: Article

References (14)

1. C. Oliver and S. Quegan, Understanding Synthetic Aperture Radar Images. Norwood, MA: Artech House, 1998.
2. C. Tison, J.-M. Nicolas, F. Tupin, and H. Maitre, "A new statistical model for Markovian classification of urban areas in high-resolution SAR images," IEEE Trans. Geosci. Remote Sens., vol. 42, no. 10, pp. 2046- 2057, Oct. 2004.
3. R. O. Duda, P. E. Hart, and D. G. Stork, Pattern Classification. New York: Wiley-Interscience, 2001.
4. P. Mantero, G. Moser, and S. B. Serpico, "Partially supervised classification of remote sensing images using SVM-based probability density estimation," IEEE Trans. Geosci. Remote Sens., vol. 43, no. 3, pp. 559- 570, Mar. 2005.
5. H.-C. Li, W. Hong, and Y.-R. Wu, "Generalized Gamma distribution with MoLC estimation for statistical modeling of SAR images," in Proc. APSAR, Huangshan, China, 2007, pp. 525-528.
6. G. Moser, J. Zerubia, and S. B. Serpico, "SAR amplitude probability density function estimation based on a generalized Gaussian model," IEEE Trans. Image Process., vol. 15, no. 6, pp. 1429-1442, Jun. 2006. (Pubitemid 43778922)
7. E. E. Kuruoglu and J. Zerubia, "Modelling SAR images with a generalization of the Rayleigh distribution," IEEE Trans. Image Process., vol. 13, no. 4, pp. 527-533, Apr. 2004.
8. E. Jakeman and P. N. Pusey, "A model for non-Rayleigh sea echo," IEEE Trans. Antennas Propag., vol. AP-24, no. 6, pp. 806-814, Nov. 1976.
9. A. C. Frery, H.-J. Muller, C. C. F. Yanasse, and S. Sant'Anna, "A model for extremely heterogeneous clutter," IEEE Trans. Geosci. Remote Sens., vol. 35, no. 3, pp. 648-659, May 1997.
10. G. Moser, S. B. Serpico, and J. Zerubia, "Dictionary-based stochastic expectation maximization for SAR amplitude probability density function estimation," IEEE Trans. Geosci. Remote Sens., vol. 44, no. 1, pp. 188- 200, Jan. 2006. (Pubitemid 43146077)
11. G. Celeux, D. Chauveau, and J. Diebolt, "On stochastic versions of the EM algorithm," INRIA, France, Res. Rep. 2514, 1995.
12. I. Sneddon, The Use of Integral Transforms. New York: McGraw-Hill, 1972.
13. M. Stephens, "Test of fit for the logistic distribution based on the empirical distribution function," Biometrika, vol. 66, no. 3, pp. 591-595, Dec. 1979.
14. G. Moser, V. Krylov, S. B. Serpico, and J. Zerubia, "High resolution SARimage classification by Markov random fields and finite mixtures," in Proc. SPIE, San Jose, CA, 2010, vol. 7533, pp. 753308-01-753308-12.