Polarimetric SAR image classification using multifeatures combination and extremely randomized clustering forests

Eurasip Journal on Advances in Signal Processing

Volumn 2010, Issue , 2010, Pages

  Yang, Wen ^a,b   Zou, Tongyuan ^a   Dai, Dengxin ^a   Sun, Hong ^a  

^a WUHAN UNIVERSITY   (China)

^b UNIV GRENOBLE ALPES   (France)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC COMBINATION; FEATURE COMBINATION; HEURISTIC RULES; MULTIFEATURES; POLARIMETRIC SAR; RESEARCH FIELDS; TERRAIN CLASSIFICATION; TRAINING AND TESTING;

FEATURE EXTRACTION; IMAGE ANALYSIS; IMAGE CLASSIFICATION; POLAROGRAPHIC ANALYSIS;

POLARIMETERS;

EID: 80052682753     PISSN: 16876172     EISSN: 16876180     Source Type: Journal    
DOI: 10.1155/2010/465612     Document Type: Article

References (39)

1. Kong J. A., Swartz A. A., Yueh H. A., Novak L. M., Shin R. T., Identification of terrain cover using the optimum polarimetric classifier Journal of Electromagnetic Waves and Applications 1988 2 2 171 194
2. Lee J. S., Grunes M. R., Kwok R., Classification of multi-look polarimetric SAR imagery based on complex Wishart distribution International Journal of Remote Sensing 1994 15 11 2299 2311
3. van Zyl J. J., Unsupervised classification of scattering mechanisms using radar polarimetry data IEEE Transactions on Geoscience and Remote Sensing 1989 27 36 45
4. Cloude S. R., Pottier E., An entropy based classification scheme for land applications of polarimetric SAR IEEE Transactions on Geoscience and Remote Sensing 1997 35 1 68 78 (Pubitemid 127771044)
5. Lee J. S., Grunes M. R., Ainsworth T. L., Du L. J., Schuler D. L., Cloude S. R., Unsupervised classification using polarimetric decomposition and the complex Wishart classifier IEEE Transactions on Geoscience and Remote Sensing 1999 37 5 2249 2258 (Pubitemid 30532653)
6. Pottier E., Lee J. S., Unsupervised classification scheme of PolSAR images based on the complex Wishart distribution and the H/A/. Polarimetric decomposition theorem Proceedings of the 3rd European Conference on Synthetic Aperture Radar (EUSAR 00) May 2000 Munich, Germany
7. Lee J. S., Grunes M. R., Pottier E., Ferro-Famil L., Unsupervised terrain classification preserving polarimetric scattering characteristics IEEE Transactions on Geoscience and Remote Sensing 2004 42 4 722 731
8. Freeman A., Durden S., A three-component scattering model for polarimetric SAR data IEEE Transactions on Geoscience and Remote Sensing 1998 36 3 963 973 (Pubitemid 128748505)
9. Yamaguchi Y., Moriyama T., Ishido M., Yamada H., Four-component scattering model for polarimetric SAR image decomposition IEEE Transactions on Geoscience and Remote Sensing 2005 43 8 1699 1706 (Pubitemid 41329019)
10. Pottier E., Saillard J., On radar polarization target decomposition theorems with application to target classification by using network method Proceedings of the International Conference on Antennas and Propagation (ICAP 91) April 1991 York, UK 265 268 (Pubitemid 21735936)
11. Hellmann M., Jaeger G., Kraetzschmar E., Habermeyer M., Classification of full polarimetric SAR-data using artificial neural networks and fuzzy algorithms 4 Proceedings of the International Geoscience and Remote Sensing Symposium (IGARSS 99) July 1999 Hamburg, Germany 1995 1997 (Pubitemid 30539477)
12. Fukuda S., Hirosawa H., Support vector machine classification of land cover: application to polarimetric SAR data 1 Proceedings of the International Geoscience and Remote Sensing Symposium (IGARSS 01) July 2001 Sydney, Australia 187 189 (Pubitemid 34236687)
13. She X. L., Yang J., Zhang W. J., The boosting algorithm with application to polarimetric SAR image classification Proceedings of the 1st Asian and Pacific Conference on Synthetic Aperture Radar (APSAR 07) November 2007 Huangshan, China 779 783
14. Shimoni M., Borghys D., Heremans R., Perneel C., Acheroy M., Fusion of PolSAR and PolInSAR data for land cover classification International Journal of Applied Earth Observation and Geoinformation 2009 11 3 169 180
15. Vapnik V. N., The Nature of Statistical Learning Theory 1995 Berlin, Germany Springer
16. Freund Y., Schapire R. E., Game theory, on-line prediction and boosting Proceedings of the 9th Annual Conference on Computational Learning Theory (COLT 96) July 1996 Desenzano del Garda, Italy 325 332
17. Breiman L., Random forests Machine Learning 2001 45 1 5 32 (Pubitemid 32933532)
18. Geurts P., Ernst D., Wehenkel L., Extremely randomized trees Machine Learning 2006 63 1 3 42
19. Moosmann F., Nowak E., Jurie F., Randomized clustering forests for image classification IEEE Transactions on Pattern Analysis and Machine Intelligence 2008 30 9 1632 1646
20. Touzi R., Goze S., Le Toan T., Lopes A., Mougin E., Polarimetric discriminators for SAR images IEEE Transactions on Geoscience and Remote Sensing 1992 30 5 973 980 (Pubitemid 23608392)
21. Molinier M., Laaksonent J., Rauste Y., Hme T., Detecting changes in polarimetric SAR data with content-based image retrieval Proceedings of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS 07) July 2007 Barcelona, Spain 2390 2393
22. Quegan S., Le Toan T., Skriver H., Gomez-Dans J., Gonzalez-Sampedro M. C., Hoekman D. H., Crop classification with multi temporal polarimetric SAR data Proceedings of the 1st Workshop on Applications of SAR Polarimetry and Polarimetric Interferometry (POLinSAR 03) January 2003 Frascati, Italy. (ESA SP-529)
23. Skriver H., Dierking W., Gudmandsen P., Applications of synthetic aperture radar polarimetry Proceedings of the 1st Workshop on Applications of SAR Polarimetry and Polarimetric Interferometry (POLinSAR 03) January 2003 Frascati, Italy 11 16. (ESA SP-529)
24. Dierking W., Skriver H., Gudmandsen P., SAR polarimetry for sea ice classification Proceedings of the 1st Workshop on Applications of SAR Polarimetry and Polarimetric Interferometry (POLinSAR 03) January 2003 Frascati, Italy 109 118. (ESA SP-529)
25. Buckley J. R., Environmental change detection in prairie landscapes with simulated RADARSAT 2 imagery 6 Proceedings of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS 02) June 2002 Toronto, Canada 3255 3257 (Pubitemid 35228186)
26. Huynen J. R., The Stokes matrix parameters and their interpretation in terms of physical target properties Proceedings of the Journées Internationales de la Polarimétrie Radar (JIPR 90) March 1990 Nantes, France IRESTE
27. Cloude S. R., Pettier E., A review of target decomposition theorems in radar polarimetry IEEE Transactions on Geoscience and Remote Sensing 1996 34 2 498 518 (Pubitemid 126780898)
28. Touzi R., Target scattering decomposition in terms of roll-invariant target parameters IEEE Transactions on Geoscience and Remote Sensing 2007 45 1 73 84 (Pubitemid 46103894)
29. Freeman A., Fitting a two-component scattering model to polarimetric SAR data from forests IEEE Transactions on Geoscience and Remote Sensing 2007 45 8 2583 2592 (Pubitemid 47179674)
30. Krogager E., New decomposition of the radar target scattering matrix Electronics Letters 1990 26 18 1525 1527 (Pubitemid 20735543)
31. Lardeux C., Frison P. L., Rudant J. P., Souyris J. C., Tison C., Stoll B., Use of the SVM classification with polarimetric SAR data for land use cartography Proceedings of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS 06) August 2006 Denver, Colo, USA 493 496 (Pubitemid 47515556)
32. Chen J., Chen Y., Yang J., A novel supervised classification scheme based on Adaboost for Polarimetric SAR Signal Processing Proceedings of the 9th International Conference on Signal Processing (ICSP 08) October 2008 Beijing, China 2400 2403
33. Blum A. L., Langley P., Selection of relevant features and examples in machine learning Artificial Intelligence 1997 97 1-2 C245 C271
34. Chen Y. W., Lin C. J., Combining SVMs with various feature selection strategies Feature Extraction, Foundations and Applications 2006 Berlin, Germany Springer
35. Schroff F., Criminisi A., Zisserman A., Object class segmentation using random forests Proceedings of the 19th British Machine Vision Conference (BMVC 08) September 2008 Leeds, UK
36. Keller J. M., Gray M. R., Givens J. A. Jr., A fuzzy K-nearest neighbor algorithm IEEE Transactions on Systems, Man, and Cybernetics 1985 15 4 580 585
37. Chang C. C., Lin C. J., LIBSVM: a library for support vector machines. Software, 2001, http://www.csie.ntu.edu.tw/cjlin/libsvm
38. Yang W., Zou T. Y., Dai D. X., Shuai Y. M., Supervised land-cover classification of TerraSAR-X imagery over urban areas using extremely randomized forest Proceedings of the Joint Urban Remote Sensing Event (JURSE 09) May 2009 Shanghai, China
39. Boykov Y., Veksler O., Zabih R., Fast approximate energy minimization via graph cuts IEEE Transactions on Pattern Analysis and Machine Intelligence 2001 23 11 1222 1239 (Pubitemid 33137959)