A New Decomposition of a POLSAR Coherency Matrix Using a Generalized Scattering Model

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

Volumn 8, Issue 8, 2015, Pages 3933-3940

  Kusano, Shunichi ^a   Takahashi, Kazunori ^a   Sato, Motoyuki ^a  

^a TOHOKU UNIVERSITY   (Japan)

Author keywords

Depolarization; eigenvalue based decomposition; model based decomposition; nonnegative eigenvalue condition; polarimetric synthetic aperture radar

Indexed keywords

DEPOLARIZATION; POLARIMETERS; SYNTHETIC APERTURE RADAR;

CONVENTIONAL MODELING; EIGEN-VALUE; ELLIPTICITY ANGLE; GENERALIZED SCATTERING; MODEL BASED DECOMPOSITIONS; ORIENTATION ANGLES; POLARIMETRIC SYNTHETIC APERTURE RADARS; VOLUME SCATTERING;

EIGENVALUES AND EIGENFUNCTIONS;

DECOMPOSITION ANALYSIS; EIGENVALUE; MATRIX; NUMERICAL MODEL; SYNTHETIC APERTURE RADAR;

EID: 85027949178     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2014.2367540     Document Type: Article

References (23)

1. A. Freeman and S. Durden, "A three-component scattering model for polarimetric SAR data," IEEE Trans. Geosci. Remote Sens., vol. 36, no. 3, pp. 963-973, May 1998.
2. Y. Yamaguchi, T. Moriyama, M. Ishido, and H. Yamada, "Fourcomponent scattering model for polarimetric SAR image decomposition," IEEE Trans. Geosci. Remote Sens., vol. 43, no. 8, pp. 1699-1706, Aug. 2005.
3. A. Freeman, "Fitting a two-component scattering model to polarimetric SAR data from forests," IEEE Trans. Geosci. Remote Sens., vol. 45, no. 8, pp. 2583-2592, Aug. 2007.
4. S. R. Cloude, Polarization Applications in Remote Sensing. New York, NY, USA: Oxford Univ. Press, 2010.
5. J. J. van Zyl, M. Arii, and Y. Kim, "Model-based decomposition of polarimetric SAR covariance matrices constrained for nonnegative eigenvalues," IEEE Trans. Geosci. Remote Sens., vol. 49, no. 9, pp. 3452-3459, Sep. 2011.
6. M. Arii, J. van Zyl, and Y. Kim, "Adaptive model-based decomposition of polarimetric SAR covariance matrices," IEEE Trans. Geosci. Remote Sens., vol. 49, no. 3, pp. 1104-1113, Mar. 2011.
7. Y. Yamaguchi, A. Sato, W. M. Boerner, R. Sato, and H. Yamada, "Fourcomponent scattering power decomposition with rotation of coherency matrix," IEEE Trans. Geosci. Remote Sens., vol. 49, no. 6, pp. 2251-2258, Jun. 2011.
8. O. Antropov, Y. Rauste, and T. Hame, "Volume scattering modeling in PolSAR decompositions: Study of ALOS PALSAR data over boreal forest," IEEE Trans. Geosci. Remote Sens., vol. 49, no. 10, pp. 3838-3848, Oct. 2011.
9. S. Chen, X. Wang, S. Xiao, and M. Sato, "General polarimetric modelbased decomposition for coherency matrix," IEEE Trans. Geosci. Remote Sens., vol. 52, no. 3, pp. 1843-1855, Mar. 2014.
10. J. S. Lee, T. L. Ainsworth, and Y. Wang, "Generalized polarimetric model-based decompositions using extended incoherent scattering models," in Proc. IEEE Int. Geosci. Remote Sens. Symp. (IGARSS), Munich, Germany, 2012, pp. 1421-1424.
11. M. Neumann, "Remote sensing of vegetation using multi-baseline polarimetric SAR interferometry: Theoretical modeling and physical parameter retrieval," Ph.D. dissertation, Univ. Rennes 1, Rennes, France, 2009.
12. J. S. Lee et al., "Unsupervised classification using polarimetric decomposition and the complex Wishart classifier," IEEE Trans. Geosci. Remote Sens., vol. 37, no. 5, pp. 2249-2258, Sep. 1999.
13. I. Hajnsek, T. Jagdhuber, H. Schon, and K. P. Papathanassiou, "Potential of estimating soil moisture under vegetation cover by means of PolSAR," IEEE Trans. Geosci. Remote Sens., vol. 47, no. 2, pp. 442-454, Feb. 2009.
14. J. S. Lee, M. R. Grunes, D. L. Schuler, E. Pottier, and L. Ferro-Famil, "Scattering-model-based speckle filtering of polarimetric SAR data," IEEE Trans. Geosci. Remote Sens., vol. 44, no. 1, pp. 176-187, Jan. 2006.
15. M. Shimada, "Model-based polarimetric SAR calibration method using forest and surface scattering targets," IEEE Trans. Geosci. Remote Sens., vol. 49, no. 5, pp. 1712-1733, May 2011.
16. J. M. Lopez-Sanchez, S. R. Cloude, and J. D. Ballester-Berman, "Rice phenology monitoring by means of SAR polarimetry at X-band," IEEE Trans. Geosci. Remote Sens., vol. 50, no. 7, pp. 2695-2709, Jul. 2012.
17. M. Koch, T. Schmid, M. Reyes, and J. Gumuzzio, "Evaluating full polarimetric C-and L-band data for mapping wetland conditions in a semi-arid environment in Central Spain," IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 5, no. 3, pp. 1033-1044, Jun. 2012.
18. O. Antropov et al., "Land cover and soil type mapping from spaceborne PolSAR data at L-band with probabilistic neural network," IEEE Trans. Geosci. Remote Sens., vol. 52, no. 9, pp. 5256-5270, Mar. 2014.
19. D. L. Schuler, T. L. Ainsworth, E. Krogager, D. Kasilingam, and W.-M. Boerner, "On the estimation of radar polarization orientation shifts induced by terrain slopes," IEEE Trans. Geosci. Remote Sens., vol. 40, no. 1, pp. 30-41, Jan. 2002.
20. K. Iribe and M. Sato, "Analysis of polarization orientation angle shifts by artificial structures," IEEE Trans. Geosci. Remote Sens., vol. 45, no. 11, pp. 3417-3425, Nov. 2007.
21. H. Kimura, "Radar polarization orientation shifts in built-up areas," IEEE Geosci. Remote Sens. Lett., vol. 5, no. 2, pp. 217-221, Apr. 2008.
22. S. 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.
23. J. Nelder and R. Mead, "A simplex method for function minimization," Comput. J., vol. 7, no. 4, pp. 308-313, 1965.