- J. S. Lee and E. Pottier, âPolarimetric radar imaging: from basics to applications,â CRC press, 2009.
- J. J. van Zyl, âSynthetic aperture radar polarimetry,â vol. 2, John Wiley & Sons, 2011.
- S. Cloude, âPolarization: applications in remote sensing, Oxford University Press, 2009.
- S. W. Chen, Y.-Z. Li, X.-s.Wang, S.-P. Xiao, and M. Sato, âModeling and Interpretation of Scattering Mechanisms in Polarimetric Synthetic Aperture Radar: Advances and Perspectives,â Signal Processing Magazine, IEEE, vol. 31, pp. 79- 89, 2014.
- S. R. Cloude and E. Pottier, âA review of target decomposition theorems in radar polarimetry,â Geoscience and Remote Sensing, IEEE Transactions on, vol. 34, pp. 498-518, 1996.
- L. M. Novak, M. B. Sechtin, and M. J. Cardullo, âStudies of target detection algorithms that use polarimetric radar data,â IEEE Transactions on Aerospace and Electronic Systems, vol. 25, pp. 150-165, 1989.
- J. Chen, Y. Chen, and J. Yang, âShip detection using polarization cross-entropy,â IEEE Geoscience and Remote Sensing Letters, vol. 6, pp. 723-727, 2009.
- A. Marino, S. R. Cloude, and I. H. Woodhouse, âA polarimetric target detector using the huynen fork,â IEEE Transactions on Geoscience and Remote Sensing, vol. 48, pp. 2357-2366, 2010.
- J. Yang, Y.-N. Peng, and S.-M. Lin, âSimilarity between two scattering matrices,â Electronics Letters, vol. 37, p. 1, 2001.
- L. M. Novak, M. C. Burl, and W. Irving, âOptimal polarimetric processing for enhanced target detection,â IEEE Transactions on Aerospace and Electronic Systems, vol. 29, pp. 234-244, 1993.
- F. Brigui, et al., âNew SAR algorithm based on orthogonal projections for MMT detection and interference reduction,â IEEE Transactions on Geoscience and Remote Sensing, vol. 52, no. 7, 2014.
- F. Brigui, et al., âNew SAR target imaging algorithm based on oblique projection for clutter reduction,â IEEE Transactions on Aerospace and Electronic Systems, vol. 50, no. 2, 2014.
- S. R. Cloude, âUniqueness of target decomposition theorems in radar polarimetry,â in Direct and inverse methods in radar polarimetry, Ed: Springer, 1992.
- S. R. Cloude and E. Pottier, âA review of target decomposition theorems in radar polarimetry,â IEEE Trans. Geosci. Remote Sens., vol. 34, no. 2, pp. 498â518, 1996.
- J. W. Goodman, âSome fundamental properties of speckle,â Journal of the Optical Society of America, vol. 66, no. 11, pp. 1145â1150, 1976.
- H. H. Lim, et al., âClassification of earth terrain using polarimetric synthetic aperture radar images,â Journal of Geophysical Research, vol. 94, (B6), pp. 7049â7057, 1989.
- C. Lopez-Martinez and X. Fabregas, âPolarimetric SAR speckle noise model,â IEEE Transactions on Geoscience and Remote Sensing, vol. 41, no. 10, pp. 2232â2242, 2003.
- J. S. Lee and K. Hoppel, âPrincipal components transformation of multifrequencypolarimetric SAR imagery,â IEEE Trans. Geosci. Remote Sensing, vol. 30, pp. 686â696, 1992.
- J. C. Harsanyi and C.-I. Chang, âHyperspectral image classification and dimensionality reduction: An orthogonal subspace projection approach,â IEEE Transactions on geoscience and remote sensing, vol. 32, no. 4, 1994.
- Y. Yamaguchi, T. Moriyama, M. Ishido, and H. Yamada, âFour- component scattering model for polarimetric SAR image decomposition,â IEEE Trans. Geosci. Remote Sens., vol. 43, no. 8, pp. 1699-1706, Aug. 2005.
|