[Proceedings] IGARSS '92 International Geoscience and Remote Sensing Symposium
DOI: 10.1109/igarss.1992.578439
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An Analysis of the Polarimetric Matched Signal and Image Filter: Application to Radar Target Versus Clutter Optimal Discrimination in Pol-Sar Image

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“…The Optimal Polarimetric Detector (OPD) then applies weighting (the weights are combinations of σ i , γ i and ρ i as shown in expression (21)) to the radar measurements before making its decision [29], a concept which was originally developed for the Optimal Polarimetric Matched Filter (OPMF) and introduced by W.M. Boerner as described in [4,5,7]. However, as the range resolution of radar systems improved, the clutter appeared less homogeneous.…”
Section: Non-parametric Methodsmentioning
confidence: 99%
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“…The Optimal Polarimetric Detector (OPD) then applies weighting (the weights are combinations of σ i , γ i and ρ i as shown in expression (21)) to the radar measurements before making its decision [29], a concept which was originally developed for the Optimal Polarimetric Matched Filter (OPMF) and introduced by W.M. Boerner as described in [4,5,7]. However, as the range resolution of radar systems improved, the clutter appeared less homogeneous.…”
Section: Non-parametric Methodsmentioning
confidence: 99%
“…Finally, as the CIM radar is not a full polarimetric system, it is important to specify that all the detection algorithms that will be presented in this paper do not utilize further distinctive parameters recovered from higher order complete Sinclair [S (2 × 2) ], Kennaugh [K (4 × 4) ], covariance [ Σ(3 × 3) ] matrix formulations or group-theory, Lie aspects as target entropy, OPCE coefficients and "relative co-pol phase difference" or "phase correlation coefficient", etc [4,5,7].…”
Section: Introductionmentioning
confidence: 99%