Eigen-Decomposition-Based Four-Component Decomposition for PolSAR Data

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

Volumn 9, Issue 3, 2016, Pages 1286-1296

  Zou, Bin ^a   Lu, Da ^a,b   Zhang, Lamei ^a   Moon, Wooil M ^b  

^a HARBIN INSTITUTE OF TECHNOLOGY   (China)

^b UNIVERSITY OF MANITOBA   (Canada)

Author keywords

Eigen decomposition; model based decomposition; Polarimetric synthetic aperture radar (PolSAR)

Indexed keywords

SYNTHETIC APERTURE RADAR; TABLE LOOKUP;

DECOMPOSITION SCHEME; EIGEN DECOMPOSITION; EIGENDECOMPOSITION METHODS; FOUR-COMPONENT DECOMPOSITION; MODEL BASED DECOMPOSITIONS; ORIENTATION ANGLES; POLARIMETRIC SYNTHETIC APERTURE RADARS; VOLUME SCATTERING;

POLARIMETERS;

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

EID: 84954531657     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2015.2513161     Document Type: Article

References (22)

1. 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.
2. J. J. van Zyl, "Application of Cloude's target decomposition theorem to polarimetric imaging radar data," in Proc. SPIE 1748 Radar Polarimetry, 1993, pp. 184-191.
3. A. Freeman and S. L. Durden, "A three-component scattering model for polarimetric SAR data," IEEE Trans. Geosci. Remote Sens., vol. 36, no. 3, pp. 963-973, May 1998.
4. Y. Yamaguchi et al., "Four-component scattering model for polarimetric SAR image decomposition," IEEE Trans. Geosci. Remote Sens., vol. 43, no. 8, pp. 1699-1706, Aug. 2005.
5. J. S. Lee, T. L. Ainsworth, Y. Wang, "Recent advances in scattering model-based decompositions: An overview," in Proc. IEEE Int. Geosci. Remote Sens. Symp., 2011, pp. 9-12.
6. W. An et al., "Four-Component decomposition of polarimetric SAR images with deorientation," IEEE Geosci. Remote Sens. Lett., vol. 8, no. 6, pp. 1090-1094, Nov. 2011.
7. A. Bhattacharya et al., "Modifying the Yamaguchi four-component decomposition scattering powers using a stochastic distance," IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 8, no. 7, pp. 3497-3506, Jul. 2015.
8. M. Arii, J. J. van Zyl, K. Yunjin, "Adaptive model-based decomposition of polarimetric SAR covariance matrices," IEEE Trans. Geosci. Remote Sens., vol. 49, no. 3, pp. 1104-1113, Mar. 2011.
9. O. Antropov, Y. Rauste, 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.
10. W. An, Y. Cui, J. Yang, "Three-component model-based decomposition for polarimetric SAR data," IEEE Trans. Geosci. Remote Sens., vol. 48, no. 6, pp. 2732-2739, Jun. 2010.
11. A. Freeman and S. L. Durden, "A three-component scattering model for polarimetric SAR data," IEEE Trans. Geosci. Remote Sens., vol. 36, no. 3, pp. 963-973, May 1998.
12. S. Chen et al., "Deorientation effect investigation for model-based decomposition over oriented built-up areas," IEEE Geosci. Remote Sens. Lett., vol. 10, no. 2, pp. 273-277, Mar. 2013.
13. S. Chen et al., "General polarimetric model-based decomposition for coherency matrix," IEEE Trans. Geosci. Remote Sens., vol. 52, no. 3, pp. 1843-1855, Mar. 2014.
14. 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.
15. R. Paladini et al., "Lossless and sufficient Psi-Invariant decomposition of random reciprocal target," IEEE Trans. Geosci. Remote Sens., vol. 50, no. 9, pp. 3487-3501, Sep. 2012.
16. J. J. van Zyl, M. Arii, 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.
17. Y. Yamaguchi et al., "Four-component scattering power decomposition with rotation of coherency matrix," IEEE Trans. Geosci. Remote Sens., vol. 49, no. 6, pp. 2251-2258, Jun. 2011.
18. F. Lang, J. Yang, D. Li, "Adaptive-Window polarimetric SAR image speckle filtering based on a homogeneity measurement," IEEE Trans. Geosci. Remote Sens., vol. 53, no. 10, pp. 5435-5446, Oct. 2015.
19. J.-S. Lee et al., "Evaluation and bias removal of multilook effect on entropy/alpha/anisotropy in polarimetric SAR decomposition," IEEE Trans. Geosci. Remote Sens., vol. 46, no. 10, pp. 3039-3052, Oct. 2008.
20. R. Touzi, "Speckle effect on polarimetric target scattering decomposition of SAR imagery," Can. J. Remote Sens., vol. 33, no. 1, pp. 60-68, 2007.
21. C. Lopez-Martinez, E. Pottier, S. R. Cloude, "Statistical assessment of eigenvector-based target decomposition theorems in radar polarimetry," IEEE Trans. Geosci. Remote Sens., vol. 43, no. 9, pp. 2058-2074, Sep. 2005.
22. V. Akbari et al., "A textural-contextual model for unsupervised segmentation of multipolarization synthetic aperture radar images," IEEE Trans. Geosci. Remote Sens., vol. 51, no. 4, pp. 2442-2453, Apr. 2013.