A new statistical-based kurtosis wavelet energy feature for texture recognition of SAR images

IEEE Transactions on Geoscience and Remote Sensing

Volumn 50, Issue 11 PART1, 2012, Pages 4358-4368

  Akbarizadeh, Gholamreza ^a  

^a SHAHID CHAMRAN UNIVERSITY OF AHVAZ   (Iran)

Author keywords

Fourth order normalized cumulant; kurtosis wavelet energy (KWE); SAR image classification; speckle; synthetic aperture radar (SAR)

Indexed keywords

ALGORITHMS; FEATURE EXTRACTION; HIGHER ORDER STATISTICS; IMAGE RETRIEVAL; SPECKLE; SUPPORT VECTOR MACHINES; TEXTURES; WAVELET TRANSFORMS;

CUMULANTS; FEATURE VECTORS; LEVEL SET FUNCTIONS; SAR IMAGE CLASSIFICATIONS; SAR IMAGE SEGMENTATION; SAR IMAGES; SPECKLE NOISE; SVM CLASSIFIERS; SYNTHETIC APERTURE RADAR (SAR) IMAGES; TESTING SETS; TEXTURE FEATURES; TEXTURE RECOGNITION; WAVELET ENERGY; WAVELET ENERGY FEATURE;

SYNTHETIC APERTURE RADAR;

AGRICULTURAL LAND; ALGORITHM; IMAGE ANALYSIS; IMAGE CLASSIFICATION; PATTERN RECOGNITION; SIGNAL-TO-NOISE RATIO; SPECKLE; STATISTICAL ANALYSIS; SYNTHETIC APERTURE RADAR; TRANSFORM; URBAN AREA; WAVELET ANALYSIS;

EID: 84869509888     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2012.2194787     Document Type: Article

References (26)

1. G. A. Rezai-Rad and G. Akbarizadeh, "A new readout circuit structure for SAR satellite imaging sensors," Proc. IREE, vol. 5, no. 1, pp. 281-290, Feb. 2010.
2. G. Akbarizadeh, G. A. Rezai-Rad, and S. B. Shokouhi, "A new region-based active contour model with skewness wavelet energy for segmentation of SAR images," IEICE Trans. Inf. Syst., vol. E93-D, no. 7, pp. 1690-1699, Jul. 2010.
3. X. Zhang, L. Jiao, F. Liu, L. Bo, and M. Gong, "Spectral clustering ensemble applied to SAR image segmentation," IEEE Trans. Geosci. Remote Sens., vol. 46, no. 7, pp. 2126-2136, Jul. 2008.
4. Y. Shuai, H. Sun, and G. Xu, "SAR image segmentation based on level set with stationary global minimum," IEEE Trans. Geosci. Remote Sens., vol. 5, no. 4, pp. 644-648, Oct. 2008.
5. S. Li, Z. Yanning, M. Miao, and T. Guangjian, "SAR image segmentation method using DP mixture models," in Proc. IEEE Int. Symp. Comput. Sci. Comput. Technol., Dec. 2008, vol. 2, pp. 598-601.
6. L. R. Varshney, "Despeckling synthetic aperture radar imagery using the contourlet transform," 2004. [Online]. Available: http://web.mit.edu/ ~lrv/www/cornell/publications/426%20Report%203.pdf
7. C. Li, C. Kao, J. Gore, and Z. Ding, "Implicit active contours driven by local binary fitting energy," in Proc. IEEE CVPR, Jun. 2007, pp. 1-7.
8. C. Li, C. Xu, C. Gui, and M. D. Fox, "Level set evolution without re-initialization: A new variational formulation," in Proc. IEEE CVPR, Jun. 2005, vol. 1, pp. 430-436.
9. C. Xu and J. Prince, "Snakes, shapes, and gradient vector flow," IEEE Trans. Image Process., vol. 7, no. 3, pp. 359-369, Mar. 1998. (Pubitemid 128745354)
10. V. Caselles, R. Kimmel, and G. Sapiro, "Geodesic active contours," Int. J. Comput. Vis., vol. 22, no. 1, pp. 61-79, Feb./Mar. 1997. (Pubitemid 127507390)
11. N. Paragios and R. Deriche, "Geodesic active regions and level set methods for supervised texture segmentation," Int. J. Comput. Vis., vol. 46, no. 3, pp. 223-247, Feb./Mar. 2002. (Pubitemid 34265799)
12. C. Samson, L. Blanc-Feraud, G. Aubert, and J. Zerubia, "A variational model for image classification and restoration," IEEE Trans. Pattern Anal. Mach. Intell., vol. 22, no. 5, pp. 460-472, May 2000.
13. R. Ronfard, "Region-based strategies for active contour models," Int. J. Comput. Vis., vol. 13, no. 2, pp. 229-251, Oct. 1994.
14. O. Michailovich, Y. Rathi, and A. Tannenbaum, "Image segmentation using active contours driven by the Bhattacharyya gradient flow," IEEE Trans. Image Process., vol. 16, no. 11, pp. 2787-2801, Nov. 2007. (Pubitemid 350141851)
15. L. Vese and T. Chan, "A multiphase level set framework for image segmentation using the Mumford and Shah model," Int. J. Comput. Vis., vol. 50, no. 3, pp. 271-293, Dec. 2002. (Pubitemid 35377416)
16. D. Mumford and J. Shah, "Optimal approximations by piecewise smooth functions and associated variational problems," Commun. Pure Appl. Math., vol. 42, no. 5, pp. 577-685, Jul. 1989.
17. A. Tsai, A. Yezzi, and A. S. Willsky, "Curve evolution implementation of the Mumford-Shah functional for image segmentation, denoising, interpolation, and magnification," IEEE Trans. Image Process., vol. 10, no. 8, pp. 1169-1186, Aug. 2001. (Pubitemid 32732678)
18. C. Li, C. Kao, J. Gore, and Z. Ding, "Minimization of region-scalable fitting energy for image segmentation," IEEE Trans. Image Process., vol. 17, no. 10, pp. 1940-1949, Oct. 2008.
19. F. Galland, N. Bertaux, and P. Réfrégier, "Minimum description length synthetic aperture radar image segmentation," IEEE Trans. Image Process., vol. 12, no. 9, pp. 995-1006, Sep. 2003.
20. G. Delyon and P. Réfrégier, "SAR image segmentation by stochastic complexity minimization with a nonparametric noise model," IEEE Trans. Geosci. Remote Sens., vol. 44, no. 7, pp. 1954-1961, Jul. 2006. (Pubitemid 44109518)
21. C. Fowlkes, S. Belongie, F. Chung, and J.Malik, "Spectral grouping using the Nyström method," IEEE Trans. Pattern Anal. Mach. Intell., vol. 26, no. 2, pp. 214-225, Feb. 2004.
22. S. X. Yu and J. Shi, "Multiclass spectral clustering," in Proc. 9th IEEE Int. Conf. Comput. Vis., 2003, vol. 1, pp. 313-319.
23. C. Ding, X. He, H. Zha, M. Gu, and H. Simon, "A min-max cut algorithm for graph partitioning and data clustering," in Proc. 1st IEEE ICDM, 2001, pp. 107-114.
24. P. R. Kersten, J.-S. Lee, and T. L. Ainsworth, "Unsupervised classification of polarimetric synthetic aperture radar images using fuzzy clustering and EM clustering," IEEE Trans. Geosci. Remote Sens., vol. 43, no. 3, pp. 519-527, Mar. 2005. (Pubitemid 40320273)
25. G. Davidson, K. Ouchi, G. Saito, N. Ishitsuka, K. Mohri, and S. Uratsuka, "Polarimetric classification using expectation methods," in Proc. Polarimetr. Interferometr. SAR Workshop, Tokyo, Japan, Aug. 29-30, 2002.
26. J. F. Aujol, G. Aubert, and L. B. Feraud, "Wavelet-based level set evolution for classification of textured images," IEEE Trans. Image Process., vol. 12, no. 12, pp. 1634-1641, Dec. 2003. (Pubitemid 40005931)