Modifying the Yamaguchi four-component decomposition scattering powers using a stochastic distance

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

Volumn 8, Issue 7, 2015, Pages 3497-3506

  Bhattacharya, Avik ^a   Muhuri, Arnab ^a   De, Shaunak ^a   Manickam, Surendar ^a   Frery, Alejandro C ^b  

^a INDIAN INSTITUTE OF TECHNOLOGY BOMBAY   (India)

^b FEDERAL UNIVERSITY OF ALAGOAS   (Brazil)

Author keywords

Polarization orientation angle; radar polarimetry; stochastic distance; synthetic aperture radar (SAR)

Indexed keywords

INFORMATION THEORY; MATRIX ALGEBRA; POLARIMETERS; POLARIZATION; RADAR; STOCHASTIC MODELS; STOCHASTIC SYSTEMS;

FOUR-COMPONENT DECOMPOSITION; HELLINGER DISTANCE; MODEL BASED DECOMPOSITIONS; POLARIZATION ORIENTATION ANGLES; RADAR POLARIMETRY; SECOND ORDER STATISTICS; STATISTICAL INFORMATION; STOCHASTIC DISTANCE;

SYNTHETIC APERTURE RADAR;

DECOMPOSITION ANALYSIS; IMAGE ANALYSIS; RADAR IMAGERY; STOCHASTICITY; SYNTHETIC APERTURE RADAR;

EID: 85028212355     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2015.2420683     Document Type: Article

References (40)

1. 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.
2. R. Touzi, "Target scattering decomposition in terms of roll-invariant target parameters," IEEE Trans. Geosci. Remote Sens., vol. 45, no. 1, pp. 73-84, Jan. 2007.
3. J. Alvarez-Perez, "Coherence, polarization, and statistical independence in Cloude-Pottier's radar polarimetry," IEEE Trans. Geosci. Remote Sens., vol. 49, no. 1, pp. 426-441, Jan. 2011.
4. 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.
5. 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.
6. M. Arii, J. J. van Zyl, and Y. Kim, "A general characterization for polarimetric scattering from vegetation canopies," IEEE Trans. Geosci. Remote Sens., vol. 48, no. 9, pp. 3349-3357, Sep. 2010.
7. 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.
8. M. Neumann, L. Ferro-Famil, and A. Reigber, "Estimation of forest structure, ground, and canopy layer characteristics from multibaseline polarimetric interferometric SAR data," IEEE Trans. Geosci. Remote Sens., vol. 48, no. 3, pp. 1086-1104, Mar. 2010.
9. M. Neumann and L. Ferro-Famil, "Extraction of particle and orientation distribution characteristics from polarimetric SAR data," in Proc. Eur. Conf. Synth. Aperture Radar (EUSAR), 2010, pp. 1-4.
10. T. Jagdhuber, I. Hajnsek, A. Bronstert, and K. Papathanassiou, "Soil moisture estimation under low vegetation cover using a multi-angular polarimetric decomposition," IEEE Trans. Geosci. Remote Sens., vol. 51, no. 4, pp. 2201-2215, Apr. 2013.
11. Y. Cui et al., "On complete model-based decomposition of polarimetric SAR coherency matrix data," IEEE Trans. Geosci. Remote Sens., vol. 52, no. 4, pp. 1991-2001, Apr. 2014.
12. J.-S. Lee, T. Ainsworth, and Y. Wang, "Generalized polarimetric modelbased decompositions using incoherent scattering models," IEEE Trans. Geosci. Remote Sens., vol. 52, no. 5, pp. 2474-2491, May 2014.
13. T. Jagdhuber, I. Hajnsek, and K. Papathanassiou, "An iterative generalized hybrid decomposition for soil moisture retrieval under vegetation cover using fully polarimetric SAR," IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., Dec. 2014, DOI: 10.1109/JSTARS.2014.2371468, to be published.
14. J.-S. Lee and T. Ainsworth, "The effect of orientation angle compensation on coherency matrix and polarimetric target decompositions," IEEE Trans. Geosci. Remote Sens., vol. 49, no. 1, pp. 53-64, Jan. 2011.
15. W. An, Y. Cui, and 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.
16. 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.
17. G. Singh, Y. Yamaguchi, and S.-E. Park, "General four-component scattering power decomposition with unitary transformation of coherency matrix," IEEE Trans. Geosci. Remote Sens., vol. 51, no. 5, pp. 3014-3022, May 2013.
18. S.-W. Chen, X. song Wang, S. Ping Xiao, and M. Sato, "General polarimetric model-based decomposition for coherency matrix," IEEE Trans. Geosci. Remote Sens., vol. 52, no. 3, pp. 1843-1855, Mar. 2014.
19. J.-S. Lee, D. Schuler, and T. Ainsworth, "Polarimetric SAR data compensation for terrain azimuth slope variation," IEEE Trans. Geosci. Remote Sens., vol. 38, no. 5, pp. 2153-2163, Sep. 2000.
20. D. Schuler, J.-S. Lee, and G. De Grandi, "Measurement of topography using polarimetric SAR images," IEEE Trans. Geosci. Remote Sens., vol. 34, no. 5, pp. 1266-1277, Sep. 1996.
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. W. Cameron, N. Youssef, and L. Leung, "Simulated polarimetric signatures of primitive geometrical shapes," IEEE Trans. Geosci. Remote Sens., vol. 34, no. 3, pp. 793-803, May 1996.
23. F. Xu and Y.-Q. Jin, "Deorientation theory of polarimetric scattering targets and application to terrain surface classification," IEEE Trans. Geosci. Remote Sens., vol. 43, no. 10, pp. 2351-2364, Oct. 2005.
24. F. Liese and I. Vajda, "On divergences and informations in statistics and information theory," IEEE Trans. Inf. Theory, vol. 52, no. 10, pp. 4394- 4412, Oct. 2006.
25. D. Puig and M. A. Garc?a, "Pixel classification through divergence-based integration of texture methods with conflict resolution," in Proc. Int. Conf. Image Process. (ICIP), 2003, vol. 2, p. II-1037.
26. B. Mak and E. Barnard, "Phone clustering using the Bhattacharyya distance," in Proc. 4th Int. Conf. Spoken Lang. (ICSLP), 1996, vol. 4, pp. 2005-2008.
27. K. Zografos, K. Ferentinos, and T. Papaioannou, "Divergence statistics: sampling properties and multinomial goodness of fit and divergence tests," Commun. Statist. Theory Methods, vol. 19, no. 5, pp. 1785-1802, 1990.
28. J. Gambini, J. Cassetti, M. M. Lucini, and A. C. Frery, "Parameter estimation in SAR imagery using stochastic distances and asymmetric kernels," IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 8, no. 1, pp. 365-375, Jan. 2015.
29. A. D. C. Nascimento, R. J. Cintra, and A. C. Frery, "Hypothesis testing in speckled data with stochastic distances," IEEE Trans. Geosci. Remote Sens., vol. 48, no. 1, pp. 373-385, Jan. 2010.
30. A. C. Frery, R. J. Cintra, and A. D. C. Nascimento, "Entropy-based statistical analysis of PolSAR data," IEEE Trans. Geosci. Remote Sens., vol. 51, no. 6, pp. 3733-3743, Jun. 2013.
31. W. B. Silva, C. C. Freitas, S. J. S. Sant'Anna, and A. C. Frery, "Classification of segments in PolSAR imagery by minimum stochastic distances between Wishart distributions," IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 6, no. 3, pp. 1263-1273, Jun. 2013.
32. L. Torres, S. J. S. Sant'Anna, C. C. Freitas, and A. C. Frery, "Speckle reduction in polarimetric SAR imagery with stochastic distances and nonlocal means," Pattern Recognit., vol. 47, pp. 141-157, 2014.
33. S. Lanfri, M. Scavuzzo, M. Lanfri, G. Palacio, and A. C. Frery, "Change detection methods in high resolution Cosmo-SkyMed images (HIMAGE mode)," in Proc. 4th Asia-Pac. Conf. Synth. Aperture Radar (APSAR), Tsukuba, Japan, 2013, pp. 304-307.
34. F. Goudail and P. Réfrégier, "Contrast definition for optical coherent polarimetric images," IEEE Trans. Pattern Anal. Mach. Intell., vol. 26, no. 7, pp. 947-951, Jul. 2004.
35. R. J. Cintra, A. C. Frery, and A. D. C. Nascimento, "Parametric and nonparametric tests for speckled imagery," Pattern Anal. Appl., vol. 16, no. 2, pp. 141-161, 2013.
36. A. C. Frery, A. D. C. Nascimento, and R. J. Cintra, "Analytic expressions for stochastic distances between relaxed complex Wishart distributions," IEEE Trans. Geosci. Remote Sens., vol. 52, no. 2, pp. 1213-1226, Feb. 2014.
37. A. D. C. Nascimento, M. M. Horta, A. C. Frery, and R. J. Cintra, "Comparing edge detection methods based on stochastic entropies and distances for PolSAR imagery," IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 7, no. 2, pp. 648-663, Feb. 2014.
38. M. Salicrú, D. Morales, and M. L. Menéndez, "On the application of divergence type measures in testing statistical hypothesis," J. Multivariate Anal., vol. 51, pp. 372-391, 1994.
39. M. Arii, J. van Zyl, and Y. Kim, "Improvement of adaptive-model based decomposition with polarization orientation compensation," in Proc. IEEE Int. Geosci. Remote Sens. Symp. (IGARSS), Jul. 2012, pp. 95-98.
40. 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.