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F. T. Ulaby and C. Elachi, Eds., Radar Polarimetry for Geoscience Applications. Dedham, MA: Artech, 1990.
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The NASA/JPL multifrequency, multipolarization airborne SAR system
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Edinburgh, Scotland
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Bayesian classification of polarimetric SAR images using adaptive a priori probabilities
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J. J. Van Zyl and C. F. Burnette, “Bayesian classification of polarimetric SAR images using adaptive a priori probabilities,” Int. J. Remote Sensing, vol. 13, p. 835, 1992.
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Segmentation of polarimetric synthetic aperture radar data
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A new clustering algorithm applicable to multispectral and polarimetric SAR images
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F.-Y. Wong and E. C. Posner, “A new clustering algorithm applicable to multispectral and polarimetric SAR images,” IEEE Trans. Geosci. Remote Sensing, vol. 31, p. 634, 1993.
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Modifications to the three-component classification algorithm for SAR data
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July
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M. Moghaddam and A. Freeman, “Modifications to the three-component classification algorithm for SAR data,” presented at Electromagn. magn. Res. Symposium (PIERS93), July, 1993, Jet Propulsion Laboratory, California Institute of Technology.
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Moghaddam, M.1
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A millimeter-wave technique for measuring ice thickness on the space shuttles external tank
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Dec.
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J. R. Kendra, F. T. Ulaby, and S. Wu, “A millimeter-wave technique for measuring ice thickness on the space shuttle s external tank,” Int. J. Infrared Millimeter Waves, vol. 12, pp. 13491377, Dec. 1991.
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Derivation of phase statistics of distributed targets from the Mueller matrix
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Ulaby, F.T.1
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Textural information in SAR images
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Mar.
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F. T. Ulaby, F. Kouyate, B. Brisco, T. H. Lee Williams, “Textural information in SAR images,” IEEE Trans. Geosci. Remote Sensing, vol. GE-24, p. 235, Mar. 1986.
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of Natural Resources
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