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• W2912508434 abstract "ABSTRACTCoherent change detection (CCD) use the sample degree of coherence as a measure of the temporal change collected between two complex-valued SAR images observed in the same area and using also the same geometry and polarization. The problem of classical CCD approaches shows a temporal change only when there are in areas of the image that have high clutter-to-noise power ratio. All experiments regarding the maximum-likelihood (ML) CCD, found to estimate useful information also in lower clutter-to-noise power ratio. Experiments used only electromagnetic transmissions in the same polarization. This work extends the formulation of the probability distribution function of the CCD in a multi-dimensional version useful for multi-polarization SAR data. Results of this ML-polarimetric interferometric SAR-CCD (ML-PolInSAR-CCD) show surprising recovery of both amplitude and phase CCD information. This information recovery is useful for improved interferometric SAR (InSAR), permanent scatterers interferometry ..." @default.
• W2912508434 created "2019-02-21" @default.
• W2912508434 creator A5045538421 @default.
• W2912508434 date "2019-02-17" @default.
• W2912508434 modified "2023-09-24" @default.
• W2912508434 title "A new maximum likelihood polarimetric interferometric synthetic aperture radar coherence change detection (ML-PolInSAR-CCD)" @default.
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• W2912508434 doi "https://doi.org/10.1080/01431161.2019.1579381" @default.
• W2912508434 hasPublicationYear "2019" @default.
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