Polarimetric-spatial classification of SAR images based on the fusion of multiple classifiers

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Volumn 7, Issue 3, 2014, Pages 961-971

  Ma, Xiaoshuang ^a   Shen, Huanfeng ^a   Yang, Jie ^a   Zhang, Liangpei ^a   Li, Pingxiang ^a  

^a WUHAN UNIVERSITY   (China)

Author keywords

Object oriented; Polarimetric synthetic aperture radar; Polarimetric spatial classification; Voting.

Indexed keywords

CLASSIFICATION (OF INFORMATION); IMAGE SEGMENTATION; PIXELS; POLARIMETERS; RADAR IMAGING; REMOTE SENSING; SEMANTICS; SYNTHETIC APERTURE RADAR;

CLASSIFICATION ACCURACY; FUSION OF MULTIPLE CLASSIFIERS; MULTISCALE SEGMENTATION; OBJECT ORIENTED; PIXEL BASED CLASSIFICATIONS; POLARIMETRIC SYNTHETIC APERTURE RADARS; SPATIAL CLASSIFICATION; VOTING;

IMAGE CLASSIFICATION;

ACCURACY ASSESSMENT; IMAGE CLASSIFICATION; PIXEL; SATELLITE IMAGERY; SPATIAL RESOLUTION; SYNTHETIC APERTURE RADAR;

EID: 84897006287     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2013.2265331     Document Type: Article

References (47)

1. Z. X. Qi, A. G. Yeh, X. Li, and Z. Lin, "A novel algorithm for land use and land cover classification using RADARSAT-2 polarimetric SAR data," Remote Sens. Environ., vol. 118, pp. 21-39, Dec. 2012.
2. J. C. Souyris, C. Henry, and F. Adragna, "On the use of complex SAR image spectral analysis for target detection: Assessment of polarimetry," IEEE Trans. Geosci. Remote Sens., vol. 41, no. 12, pp. 2725-2734, Dec. 2003.
3. C. Liu and C. H. Gierull, "A newapplication for PolSAR imagery in the field of moving target indication/ship detection," IEEE Trans. Geosci. Remote Sens., vol. 45, no. 11, pp. 3426-3436, Nov. 2007. (Pubitemid 350025448)
4. J. S. Lee, M. R. Grunes, and E. Pottier, "Quantitative comparison of classification capability: Fully-polarimetric versus dual and single-polarization SAR," IEEE Trans. Geosci. Remote Sens., vol. 39, no. 11, pp. 2343-2351, Nov. 2001. (Pubitemid 33137969)
5. B. Liu, H. Hu, H. Wang, K. Wang, X. Liu, and W. Yu, "Superpixelbased classification with an adaptive number of classes for Polarimetric SAR images," IEEE Trans. Geosci. Remote Sens., vol. 51, no. 2, pp. 1-18, Feb. 2013.
6. J. A. Kong, A. A. Swartz, H. A. Yueh, L. M. Novak, and R. T. Shin, "Identification of terrain cover using the optimum polarimetric classifier," J. Electromagn. Waves Applicat., vol. 2, no. 2, pp. 171-194, 1988.
7. J. S. Lee, M. R. Grunes, and R. Kwok, "Classification of multi-look polarimetric SAR imagery based on complexWishart distribution," Int. J. Remote Sens., vol. 15, no. 11, pp. 2299-2311, 1994.
8. V. Zyl and J. Jakob, "Unsupervised classification of scattering behavior using radar polarimetry data," IEEE Trans. Geosci. Remote Sens., vol. 27, no. 1, pp. 36-45, Jan. 1989.
9. S. R. Cloude and E. Pottier, "An entropy based classification scheme for land applications of polarimetric SAR," IEEE Trans. Geosci. Remote Sens., vol. 35, no. 1, pp. 68-78, Jan. 1997. (Pubitemid 127771044)
10. J.S. Lee, M.R. Grunes, T. L. Ainsworth, L.-J. Du, D. L. Schuler, and S. R. Cloude, "Unsupervised classification using polarimetric decomposition and the complexWishart classifier," IEEE Trans. Geosci. Remote Sens., vol. 37, no. 5, pp. 2249-2258, Sep. 1999. (Pubitemid 30532653)
11. L. Ferro-Famil, E. Pottier, and J.-S. Lee, "Unsupervised classification of multifrequency and fully polarimetric SAR images based on the H/A/AlphaWishart classifier," IEEE Trans. Geosci. Remote Sens., vol. 39, no. 11, pp. 2332-2342, Nov. 2001. (Pubitemid 33137968)
12. J. S. Lee, M. R. Grunes, E. Pottier, and L. Ferro-Famil, "Unsupervised terrain classification preserving polarimetric scattering characteristics," IEEE Trans. Geosci. Remote Sens., vol. 42, no. 4, pp. 722-731, Apr. 2004.
13. J. Zhu, X. Fan, H. Guo, C. Wang, J. Tan, and X. Du, "Information extraction from high-resolution SAR image with object-oriented method," in 6th ISDE, 2010.
14. T. Blaschke and G. J. Hay, "Object-oriented image analysis and scalespace: Theory and methods for modeling and evaluating multi-scale landscape structure," Int. Archives Photogramm. Remote Sens., vol. 34, no. 4, pp. 22-29, 2001.
15. U. Benz and E. Pottier, "Object based analysis of polarimetric SAR data in alpha-entropy-anisotropy decomposition using fuzzy classification by eCognition," Proc. IEEE IGARSS, vol. 3, pp. 1427-1429, 2011.
16. H. T. Li, H. Y. Gu, Y. S. Han, and J. H. Yang, "Object-oriented classification of polarimetric SAR imagery based on statistical region merging and support vector machine," in EORSA, 2008, pp. 1-6.
17. Y. Dong, A. K. Milne, and B. C. Forster, "Segmentation and classification of vegetated areas using polarimetric SAR image data," IEEE Trans. Geosci. Remote Sens., vol. 39, no. 2, pp. 321-329, Feb. 2001. (Pubitemid 32270995)
18. B. M. Steele, "Combining multiple classifiers: An application of using spatial and remote sensed information for land cover type mapping," Remote Sens. Environ., vol. 74, no. 3, pp. 545-556, Dec. 2000. (Pubitemid 32139656)
19. H. Kim, H. Kim, H. Moon, and H. Ahn, "A weight-adjusted voting algorithm for ensembles of classifiers," J. Korean Statistical Soc., vol. 40, no. 4, pp. 437-449, Dec. 2011.
20. F. Tupin, I. Bloch, and H. Maitre, "A first step toward automatic interpretation of SAR images using evidential fusion of several structure detectors," IEEE Trans. Geosci. Remote Sens., vol. 37, no. 3, pp. 1327-1343, May 1999.
21. J. Franke and E. Mandler, "A comparison of two approaches for combining the votes of cooperating classifiers," in Proc. 11th Int. Conf. Pattern Recognition, 1992, vol. 2, pp. 611-614.
22. Y. S. Huang and C. Y. Suen, "An optimal method of combining multiple experts for the recognition of unconstrained handwritten numeral recognition," Pattern Analysis and Machine Intelligence, vol. 17, no. 1, pp. 90-94, 1995.
23. L. Xu, A. Krzyzak, and C. Y. Suen, "Methods of combining multiple classifiers and their applications to handwriting recognition," IEEE Trans. Syst., Man, Cybern., vol. 22, no. 3, pp. 418-435, May 1992.
24. D. S. Lee and S. N. Srihari, "Handprinted digit recognition: A comparison of algorithms," in Proc. 3rd Int. Workshop Frontiers Handwriting Recognition, 1993, pp. 153-162.
25. H. Yang, Q. Du, and B. Ma, "Decision fusion on supervised and unsupervised classifiers for hyperspectral imagery," IEEE Trans. Geosci. Remote Sens., vol. 7, no. 4, pp. 875-879, Oct. 2010.
26. V. Vapnik, The Nature of Statistical Learning Theory. NewYork, NY, USA: Springer-Verlag, 1995.
27. S. R. Cloude and E. Pottier, "A review of target decomposition theorems in radar polarimetry," IEEE Trans. Geosci. Remote Sens., vol. 34, no. 2, pp. 498-518, Mar. 1996. (Pubitemid 126780898)
28. L. F. Fmail and E. Pottier, "The polarimetric SAR data processing and educational tool," European Space Agency, 2005.
29. J. C. Bezdek, R. Ehrlich, and W. Full, "FCM: The fuzzy c-means clustering algorithm," Comput. Geosci., vol. 10, no. 2, pp. 191-203, 1984. (Pubitemid 15436087)
30. C. G. Li and G. F. Shao, "Combination multiclassifier for object-oriented classification of forest cover," J. Nanjing Forestry Univ., vol. 34, pp. 74-79, 2010.
31. L. Lam and C. Y. Suen, "Application of majority voting to pattern recognition:An analysis of its behavior and performance," IEEE Trans. Syst., Man, Cybern., vol. 27, no. 5, pp. 553-568, Sep. 1997. (Pubitemid 127770722)
32. A. Cheriyadat, L. M. Bruce, and A. Mathur, "Decision level fusion with best-bases for hyperspectral classification," in IEEE Workshop Adv. Tech. Analysis Remotely Sensed Data, 2003, pp. 399-406.
33. S. Fukuda and H. Hirosawa, "Polarimetric SAR image classification using support vector machine," IEICE Trans. Electronics, vol. E84-C, pp. 1939-1945, 2001. (Pubitemid 33774074)
34. E. A. Carvalho, D. M. Ushizima, F. N. S. Medeiros, C. I. O. Martins, R. C. P. Marques, and I. N. S. Oliveira, "SAR imagery segmentation by statistical region growing and hierarchical merging," Digital Signal Process., vol. 20, no. 5, pp. 1365-1378, 2010.
35. L. Vincent and P. Soille, "Watersheds in digital spaces: An efficient algorithm based on immersion simulations," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 13, no. 6, pp. 583-598, Jan. 1991. (Pubitemid 21675616)
36. M. Baatz, "Ecognition: Object oriented image analysis, user guide," Definiens Imaging GmbH, 2001.
37. U. C. Benz, P. Hofmann, G. Willhauck, I. Lingenfelder, and M. Heynen, "Multi-resolution, object-oriented fuzzy analysis of remote sensing data for GIS-ready information," ISPRS J. Photogramm. Remote Sens., vol. 58, no. 3, pp. 239-258, 2004. (Pubitemid 38106043)
38. Y. Tarabalka, J. Chanussot, J. A. Benediktsson, J. Angulo, and M. Fauvel, "Segmentation and classification of hyperspectral data using watershed," Proc. IEEE IGARSS, vol. 3, pp. 652-655, 2008.
39. K. Bernard, Y. Tarabalka, J. Angulo, J. Chanussot, and J. A. Benediktsson, "Spectral-spatial classification of hyperspectral data based on a stochastic minimum spanning forest approach," IEEE Trans. Image Process., vol. 21, no. 4, pp. 2008-2021, Apr. 2012.
40. M. Fauvel, Y. Tarabalka, J. A. Benediktsson, J. Chanussot, and J. C. Tilton, "Advances in spectral-spatial classification of hyperspectral images," Proc. IEEE, vol. 101, no. 3, pp. 652-675, Mar. 2013.
41. Y. Tarabalka, J. A. Benediktsson, and J. Chanussot, "Spectral- spatial classification of hyperspectral imagery based on partitional clustering techniques," IEEE Trans. Geosci. Remote Sens., vol. 47, no. 8, pp. 2973-2987, Aug. 2009.
42. J. S. Lee, M. R. Grunes, and G. D. Grandi, "Polarimetric SAR speckle filtering and its impact for terrain classification," IEEE Trans. Geosci. Remote Sens., vol. 37, no. 5, pp. 2363-2373, Aug. 1999.
43. D. K. Atwood, D. Small, and R. Gens, "Improving PolSAR land cover classification with radiometric correction of the coherency matrix," IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 5, no. 3, pp. 848-856, Jun. 2012.
44. S. Fukuda, R. Katagiri, and H. Hirosawa, "Unsupervised approach for polarimetric SAR image classification using support vector machines," in Proc. IEEE IGARRS, 2002, vol. 5, pp. 2599-2601. (Pubitemid 35228333)
45. N. Cristianini and J. S. Taylor, An Introduction to Support Vector Machines and Other Kernel-Based Learning Methods. Cambridge, U.K.: Cambridge University Press, 2000.
46. F. Robinson, A. Apon, D. Brewer, L. Dowdy, D. Hoffman, and B. Lu, "Initial starting point analysis for K-means clustering: A case study," in Proc. ALAR 2006 Conf. Applied Research in Inform. Technol., 2006.
47. K. Ersahin, I. G. Cumming, and R. K. Ward, "Segmentation and classification of polarimetric SAR data using spectral graph partitioning," IEEE Trans. Geosci. Remote Sens., vol. 48, no. 1, pp. 164-174, Jan. 2010.