On the novel use of model-based decomposition in SAR polarimetry for target detection on the sea

References

• Arii , M. , Van Zyl , J.J. and Kim , Y. 2011 . Adaptive model-based decomposition of polarimetric SAR covariance matrices . IEEE Transactions on Geoscience and Remote Sensing , 49 : 1104 – 1113 .
   Web of Science ®Google Scholar
• Crisp , D.J. 2004 . The State-of-the-Art in Ship Detection in Synthetic Aperture Radar Imagery , Edinburgh , , Australia : Defence Science and Technology Organization (DSTO) Information Science Laboratory .
   Google Scholar
• Freeman , A. and Durden , S. 1998 . A three-component scattering model for polarimetric SAR data . IEEE Transactions on Geoscience and Remote Sensing , 36 : 963 – 973 .
   Web of Science ®Google Scholar
• Marino , A. , Hajnsek , I. and Walker , N. 2012 . “ Validating a ship detector based on the notch filter with RADARSAT-2 fine quad-pol data ” . In Proceedings on SEASAR Tromsø , Norway
   Google Scholar
• Migliaccio , M. , Nunziata , F. , Montuori , A. and Paes , R.L. 2012 . Single-look complex COSMO-SkyMed SAR data to observe metallic targets at sea . IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing , 5 : 893 – 901 .
   Web of Science ®Google Scholar
• Nunziata , F. , Migliaccio , M. and Brown , C.E. 2012 . Reflection symmetry for polarimetric observation of man-made metallic targets at sea . IEEE Journal of Oceanic Engineering , 37 : 384 – 394 .
   Web of Science ®Google Scholar
• Sugimoto , M. , Ouchi , K. and Nakamura , Y. 2012 . Four-component scattering power decomposition algorithm with rotation of covariance matrix . Remote Sensing , 4 : 2199 – 2209 .
   Web of Science ®Google Scholar
• Van Zyl , J.J. , Arii , M. and Kim , Y. 2011 . Model-based decomposition of polarimetric SAR covariance matrices constrained for nonnegative eigenvalues . IEEE Transactions on Geoscience and Remote Sensing , 49 : 3452 – 3459 .
   Web of Science ®Google Scholar
• Yajima , Y. , Yamaguchi , Y. , Sato , R. , Yamada , H. and Boerner , W.M. 2008 . POLSAR image analysis of wetlands using a modified four-component scattering power decomposition . IEEE Transactions on Geoscience and Remote Sensing , 46 : 1667 – 1673 .
   Web of Science ®Google Scholar
• Yamaguchi , Y. , Moriyama , T. , Ishido , M. and Yamada , H. 2005 . Four-component scattering model for polarimetric SAR image decomposition . IEEE Transactions on Geo-science and Remote Sensing , 43 : 1699 – 1706 .
   Web of Science ®Google Scholar
• Yamaguchi , Y. , Sato , A. , Boerner , W.M. , Sato , R. and Yamada , H. 2011 . Four-component scattering power decomposition with rotation of coherency matrix . IEEE Transactions on Geoscience and Remote Sensing , 49 : 2251 – 2258 .
   Web of Science ®Google Scholar
• Zhang , L. , Zou , B. , Cai , H. and Zhang , Y. 2008 . Multiple-component scattering model for polarimetric SAR image decomposition . IEEE Geoscience and Remote Sensing Letters , 5 : 603 – 607 .
   Web of Science ®Google Scholar