Comparison of polarimetric SAR observables in terms of classification performance

International Journal of Remote Sensing

Volumn 29, Issue 14, 2008, Pages 4129-4150

  Alberga, V ^a   Satalino, G ^b   Staykova, D K ^c  

^a ROYAL MILITARY ACADEMY   (Belgium)

^b INSTITUTE OF INTELLIGENT SYSTEMS FOR AUTOMATION   (Italy)

^c UNIVERSITY OF GOTHENBURG   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

BACKPROPAGATION; POLARIMETERS;

BACKPROPAGATION LEARNING; CLASSIFICATION PERFORMANCE; CLASSIFICATION PROCESS; MULTI LAYER PERCEPTRON; NEURAL NETWORK CLASSIFIER; POLARIMETRIC PARAMETERS; POLARIMETRIC SAR DATA; STATISTICAL DISTRIBUTION;

SYNTHETIC APERTURE RADAR;

ARTIFICIAL NEURAL NETWORK; BACK PROPAGATION; DATA ACQUISITION; IMAGE CLASSIFICATION; OPTIMIZATION; PARAMETERIZATION; PERFORMANCE ASSESSMENT; SENSOR; SYNTHETIC APERTURE RADAR;

EID: 46349100101     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431160701840182     Document Type: Article

References (36)

1. Alberga, V. (2007) A study of land cover classification using polarimetric SAR parameters. International Journal of Remote Sensing, 28, pp. 3851-3870.
2. Alberga, V., Satalino, G. and Staykova, D. K. (2006) Polarimetric SAR observables for land cover classification: Analyses and comparisons. 6363
3. Ayed, I. B., Mitiche, A. and Belhadj, Z. (2005) Multiregion level-set partitioning of synthetic aperture radar images. IEEE Transactions on Pattern Analysis and Machine Intelligence, 27, pp. 793-800.
4. Ayed, I. B., Mitiche, A. and Belhadj, Z. (2006) Polarimetric image segmentation via maximum-likelihood approximation and efficient multiphase level-sets. IEEE Transactions on Pattern Analysis and Machine Intelligence, 28, pp. 1493-1500.
5. Benediktsson, J. A., Swain, P. H. and Ersoy, O. K. (1990) Neural network approaches versus statistical methods in classification of multisource remote sensing data. IEEE Transactions on Geoscience and Remote Sensing, 28, pp. 540-552.
6. Bischof, H., Schneider, W. and Pinz, A. J. (1992) Multispectral classification of Landsat-images using neural networks. IEEE Transactions on Geoscience and Remote Sensing, 30, pp. 482-490.
7. Borghys, D. and Perneel, C. (2007) A supervised classification of multi-channel high-resolution SAR data. EARSeL eProceedings, 6, pp. 26-37.
8. Borghys, D., Yvinec, Y., Perneel, C., Pizurica, A. and Philips, W. (2006) Supervised feature-based classification of multi-channel SAR images. Pattern Recognition Letters: Special Issue on Pattern Recognition for Remote Sensing, 27, pp. 252-258.
9. Cameron, W. L. and Leung, L. K. (1992) Identification of elemental polarimetric scatterer responses in high-resolution ISAR and SAR signature measurements. pp. 196-212.
10. Cameron, W. L., Youssef, N. N. and Leung, L. K. (1996) Simulated polarimetric signatures of primitive geometrical shapes. IEEE Transactions on Geoscience and Remote Sensing, 34, pp. 793-803.
11. Chandra, M., Clemens, E., Ritenberg, F., Schnabl, G., Schroth, A. and Tragl, K. (1992) DFVLR polarimetric meteorological instrumentation radar facility. pp. 1579-1612. Kluwer Academic Publishers, Dordrecht, the Netherlands
12. Chen, C-T., Chen, K-S. and Lee, J. -S. (2003) The use of fully polarimetric information for the fuzzy neural classification of SAR images. IEEE Transactions on Geoscience and Remote Sensing, 41, pp. 2089-2100.
13. Cloude, S. R. (1986) Group theory and polarization algebra. Optik, 75, pp. 26-36.
14. Cloude, S. R. and Pottier, E. (1996) A review of target decomposition theorems in radar polarimetry. IEEE Transactions on Geoscience and Remote Sensing, 34, pp. 498-518.
15. Cloude, S. R. and Pottier, E. (1997) An entropy based classification scheme for land application of polarimetric SAR. IEEE Transactions on Geoscience and Remote Sensing, 35, pp. 68-78.
16. Congalton, R. G. (1991) A review of assessing the accuracy of classification of remotely sensed data. Remote Sensing of Environment, 37, pp. 35-46.
17. Corr, D. G. and Rodrigues, A. (2002) Alternative basis matrices for polarimetric decomposition. pp. 597-600.
18. Corr, D. G., Walker, A., Benz, U., Lingenfelder, I. and Rodrigues, A. (2003) Classification of urban SAR imagery using object oriented techniques. pp. 188-190.
19. Corr, D., Blacknell, D., Oliver, C. and Rodrigues, A. (2004) Unification of techniques to measure polarimetric signatures through image segmentation. pp. 989-992.
20. Du, L. J. and Lee, J. -S. (1996) Fuzzy classification of Earth terrain covers using multi-look polarimetric SAR image data. International Journal of Remote Sensing, 17, pp. 809-826.
21. Ferro-Famil, L., Pottier, E. and Lee, J. -S. (2001) Unsupervised classification of multifrequency and fully polarimetric SAR images based on H/A/alpha-Wishart classifier. IEEE Transactions on Geoscience and Remote Sensing, 39, pp. 2332-2342.
22. Freeman, A. and Durden, S. L. (1998) A three-component scattering model for polarimetric SAR data. IEEE Transactions on Geoscience and Remote Sensing, 36, pp. 963-973.
23. Funahashi, K. (1989) On the approximate realizations of continuous mappings by neural networks. Neural networks, 2, pp. 183-192.
24. Hara, Y., Atkins, R. G., Yueh, S. H., Shin, R. T. and Kong, J. S. (1994) Application of neural networks to radar image classification. IEEE Transactions on Geoscience and Remote Sensing, 32, pp. 100-109.
25. Hertz, A., Krogh, A. and Palmer, R. G. (1991) Introduction to the Theory of Neural Computation, Addison Wesley, Redwood City, CA
26. Hosmer, D. W. and Lemeshow, S. (1989) Applied logistic regression, John Wiley & Sons, New York
27. Kimura, K., Yamaguchi, Y. and Yamada, H. (2003) Pi-SAR image analysis using polarimetric scattering parameters and total power. pp. 425-427.
28. Krogager, E. (1995) Coherent integration of scattering matrices. pp. 708-719.
29. Lee, J. -S., Grunes, M. R. and Kwok, R. (1994) Classification of multi-look polarimetric SAR imagery based on complex Wishart distribution. International Journal of Remote Sensing, 15, pp. 2299-2311.
30. Lee, J. -S., Grunes, M. R., Ainsworth, T. L., Du, L. J., Schuler, D. L. and Cloude, S. R. (1999) Unsupervised classification using polarimetric decomposition and the complex Wishart classifier. IEEE Transactions on Geoscience and Remote Sensing, 37, pp. 2249-2258.
31. Lee, J. -S., Grunes, M. R., Pottier, E. and Ferro-Famil, L. (2004) Unsupervised terrain classification preserving polarimetric scattering characteristics. IEEE Transactions on Geoscience and Remote Sensing, 42, pp. 722-731.
32. Lüneburg, E. and Boerner, W. -M. (2004) Statistical aspects of radar polarimetry.pp. 43-52. Springer-Verlag, Berlin, Germany
33. Mattia, F., Le Toan, T., Sourys, J-C., De Carolis, G., Floury, N., Posa, F. and Pasquariello, G. (1997) The effect of surface roughness on multifrequency polarimetric SAR data. IEEE Transactions on Geoscience and Remote Sensing, 35, pp. 954-966.
34. Moriyama, T., Uratsuka, S., Umehara, T., Maeno, H., Satake, M., Nadai, A. and Nakamura, K. (2004) Feature extraction of urban area based on polarimetric decomposition. pp. 435-438.
35. Spencer, P., Alberga, V., Chandra, M., Hounam, D. and Keydel, W. (2000) SAR polarimetric parameters for land use classification. pp. 783-785.
36. van Zyl, J. J. (1989) Unsupervised classification of scattering behavior using radar polarimetry data. IEEE Transactions on Geoscience and Remote Sensing, 27, pp. 36-45.